Udemy Complete Machine Learning and Data Science Zero to Mastery Desire Course
Seeders : 0 Leechers : 3
| Torrent Hash : | 89CB97656E43FFEDBC94EA2B471901AF7A031AFF |
| Torrent Added : | at Oct. 28, 2023, 8:06 a.m. in Other |
| Torrent Size : | 19.2 GB |
Knox
Udemy Complete Machine Learning and Data Science Zero to Mastery Desire Course
Fast And Direct Download Safely And Anonymously!
Fast And Direct Download Safely And Anonymously!
Note :
Please Update (Trackers Info) Before Start " Udemy Complete Machine Learning and Data Science Zero to Mastery Desire Course" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.Torrent File Content (3 files)
Udemy Complete Machine Learning and Data Science Zero to Mastery Desire Course
[CourseClub.Me].url -
[DesireCourse.Net].url -
[FreeCourseWorld.Com].url -
001 Course Outline.en.srt -
001 Course Outline.mp4 -
002 Join Our Online Classroom.html -
003 Exercise Meet The Community.html -
004 Your First Day.en.srt -
004 Your First Day.mp4 -
005 What Is Machine Learning.en.srt -
005 What Is Machine Learning.mp4 -
006 AIMachine LearningData Science.en.srt -
006 AIMachine LearningData Science.mp4 -
007 Exercise Machine Learning Playground.en.srt -
007 Exercise Machine Learning Playground.mp4 -
008 How Did We Get Here.en.srt -
008 How Did We Get Here.mp4 -
009 Exercise YouTube Recommendation Engine.en.srt -
009 Exercise YouTube Recommendation Engine.mp4 -
010 Types of Machine Learning.en.srt -
010 Types of Machine Learning.mp4 -
011 Are You Getting It Yet.html -
012 What Is Machine Learning Round 2.en.srt -
012 What Is Machine Learning Round 2.mp4 -
013 Section Review.en.srt -
013 Section Review.mp4 -
external-assets-links.txt -
014 Section Overview.en.srt -
014 Section Overview.mp4 -
015 Introducing Our Framework.en.srt -
015 Introducing Our Framework.mp4 -
016 6 Step Machine Learning Framework.en.srt -
016 6 Step Machine Learning Framework.mp4 -
017 Types of Machine Learning Problems.en.srt -
017 Types of Machine Learning Problems.mp4 -
018 Types of Data.en.srt -
018 Types of Data.mp4 -
019 Types of Evaluation.en.srt -
019 Types of Evaluation.mp4 -
020 Features In Data.en.srt -
020 Features In Data.mp4 -
021 Modelling - Splitting Data.en.srt -
021 Modelling - Splitting Data.mp4 -
022 Modelling - Picking the Model.en.srt -
022 Modelling - Picking the Model.mp4 -
023 Modelling - Tuning.en.srt -
023 Modelling - Tuning.mp4 -
024 Modelling - Comparison.en.srt -
024 Modelling - Comparison.mp4 -
025 Overfitting and Underfitting Definitions.html -
026 Experimentation.en.srt -
026 Experimentation.mp4 -
027 Tools We Will Use.en.srt -
027 Tools We Will Use.mp4 -
028 Optional Elements of AI.html -
external-assets-links.txt -
029 The 2 Paths.en.srt -
029 The 2 Paths.mp4 -
030 Python Machine Learning Monthly.html -
031 Section Overview.en.srt -
031 Section Overview.mp4 -
032 Introducing Our Tools.en.srt -
032 Introducing Our Tools.mp4 -
033 What is Conda.en.srt -
033 What is Conda.mp4 -
033 conda-cheatsheet.pdf -
034 Conda Environments.en.srt -
034 Conda Environments.mp4 -
035 Mac Environment Setup.en.srt -
035 Mac Environment Setup.mp4 -
036 Mac Environment Setup 2.en.srt -
036 Mac Environment Setup 2.mp4 -
037 Windows Environment Setup.en.srt -
037 Windows Environment Setup.mp4 -
038 Windows Environment Setup 2.en.srt -
038 Windows Environment Setup 2.mp4 -
039 Linux Environment Setup.html -
040 Sharing your Conda Environment.html -
041 6-step-ml-framework.png -
041 Jupyter Notebook Walkthrough.en.srt -
041 Jupyter Notebook Walkthrough.mp4 -
041 heart-disease.csv -
042 Jupyter Notebook Walkthrough 2.en.srt -
042 Jupyter Notebook Walkthrough 2.mp4 -
043 Jupyter Notebook Walkthrough 3.en.srt -
043 Jupyter Notebook Walkthrough 3.mp4 -
external-assets-links.txt -
044 Section Overview.en.srt -
044 Section Overview.mp4 -
045 Downloading Workbooks and Assignments.html -
046 Pandas Introduction.mp4 -
047 Series Data Frames and CSVs.en.srt -
047 Series Data Frames and CSVs.mp4 -
047 pandas-anatomy-of-a-dataframe.png -
048 Data from URLs.html -
049 Describing Data with Pandas.en.srt -
049 Describing Data with Pandas.mp4 -
050 Selecting and Viewing Data with Pandas.en.srt -
050 Selecting and Viewing Data with Pandas.mp4 -
050 car-sales.csv -
051 Selecting and Viewing Data with Pandas Part 2.en.srt -
051 Selecting and Viewing Data with Pandas Part 2.mp4 -
052 Manipulating Data.en.srt -
052 Manipulating Data.mp4 -
052 car-sales-missing-data.csv -
053 Manipulating Data 2.en.srt -
053 Manipulating Data 2.mp4 -
053 pandas-anatomy-of-a-dataframe.png -
054 Manipulating Data 3.en.srt -
054 Manipulating Data 3.mp4 -
055 Assignment Pandas Practice.html -
056 How To Download The Course Assignments.en.srt -
056 How To Download The Course Assignments.mp4 -
external-assets-links.txt -
057 Section Overview.en.srt -
057 Section Overview.mp4 -
058 NumPy Introduction.en.srt -
058 NumPy Introduction.mp4 -
059 Quick Note Correction In Next Video.html -
060 NumPy DataTypes and Attributes.en.srt -
060 NumPy DataTypes and Attributes.mp4 -
061 Creating NumPy Arrays.en.srt -
061 Creating NumPy Arrays.mp4 -
062 NumPy Random Seed.en.srt -
062 NumPy Random Seed.mp4 -
063 Viewing Arrays and Matrices.en.srt -
063 Viewing Arrays and Matrices.mp4 -
064 Manipulating Arrays.en.srt -
064 Manipulating Arrays.mp4 -
065 Manipulating Arrays 2.en.srt -
065 Manipulating Arrays 2.mp4 -
066 Standard Deviation and Variance.en.srt -
066 Standard Deviation and Variance.mp4 -
067 Reshape and Transpose.en.srt -
067 Reshape and Transpose.mp4 -
068 Dot Product vs Element Wise.en.srt -
068 Dot Product vs Element Wise.mp4 -
069 Exercise Nut Butter Store Sales.en.srt -
069 Exercise Nut Butter Store Sales.mp4 -
070 Comparison Operators.en.srt -
070 Comparison Operators.mp4 -
071 Sorting Arrays.en.srt -
071 Sorting Arrays.mp4 -
072 Turn Images Into NumPy Arrays.en.srt -
072 Turn Images Into NumPy Arrays.mp4 -
072 numpy-images.zip -
073 Assignment NumPy Practice.html -
074 Optional Extra NumPy resources.html -
external-assets-links.txt -
075 Section Overview.en.srt -
075 Section Overview.mp4 -
076 Matplotlib Introduction.en.srt -
076 Matplotlib Introduction.mp4 -
077 Importing And Using Matplotlib.en.srt -
077 Importing And Using Matplotlib.mp4 -
078 Anatomy Of A Matplotlib Figure.en.srt -
078 Anatomy Of A Matplotlib Figure.mp4 -
078 matplotlib-anatomy-of-a-plot-with-code.png -
078 matplotlib-anatomy-of-a-plot.png -
079 Scatter Plot And Bar Plot.en.srt -
079 Scatter Plot And Bar Plot.mp4 -
080 Histograms And Subplots.en.srt -
080 Histograms And Subplots.mp4 -
081 Subplots Option 2.en.srt -
081 Subplots Option 2.mp4 -
082 Quick Tip Data Visualizations.en.srt -
082 Quick Tip Data Visualizations.mp4 -
083 Plotting From Pandas DataFrames.en.srt -
083 Plotting From Pandas DataFrames.mp4 -
084 Quick Note Regular Expressions.html -
085 Plotting From Pandas DataFrames 2.en.srt -
085 Plotting From Pandas DataFrames 2.mp4 -
086 Plotting from Pandas DataFrames 3.en.srt -
086 Plotting from Pandas DataFrames 3.mp4 -
087 Plotting from Pandas DataFrames 4.en.srt -
087 Plotting from Pandas DataFrames 4.mp4 -
087 heart-disease.csv -
088 Plotting from Pandas DataFrames 5.en.srt -
088 Plotting from Pandas DataFrames 5.mp4 -
089 Plotting from Pandas DataFrames 6.en.srt -
089 Plotting from Pandas DataFrames 6.mp4 -
090 Plotting from Pandas DataFrames 7.en.srt -
090 Plotting from Pandas DataFrames 7.mp4 -
091 Customizing Your Plots.en.srt -
091 Customizing Your Plots.mp4 -
092 Customizing Your Plots 2.en.srt -
092 Customizing Your Plots 2.mp4 -
093 Saving And Sharing Your Plots.en.srt -
093 Saving And Sharing Your Plots.mp4 -
094 Assignment Matplotlib Practice.html -
external-assets-links.txt -
095 Section Overview.en.srt -
095 Section Overview.mp4 -
096 Scikit-learn Introduction.en.srt -
096 Scikit-learn Introduction.mp4 -
097 Quick Note Upcoming Video.html -
098 Refresher What Is Machine Learning.en.srt -
098 Refresher What Is Machine Learning.mp4 -
099 Quick Note Upcoming Videos.html -
100 Scikit-learn Cheatsheet.en.srt -
100 Scikit-learn Cheatsheet.mp4 -
101 Typical scikit-learn Workflow.en.srt -
101 Typical scikit-learn Workflow.mp4 -
102 Optional Debugging Warnings In Jupyter.en.srt -
102 Optional Debugging Warnings In Jupyter.mp4 -
103 Getting Your Data Ready Splitting Your Data.en.srt -
103 Getting Your Data Ready Splitting Your Data.mp4 -
103 scikit-learn-data.zip -
104 Quick Tip Clean Transform Reduce.en.srt -
104 Quick Tip Clean Transform Reduce.mp4 -
105 Getting Your Data Ready Convert Data To Numbers.en.srt -
105 Getting Your Data Ready Convert Data To Numbers.mp4 -
106 Getting Your Data Ready Handling Missing Values With Pandas.en.srt -
106 Getting Your Data Ready Handling Missing Values With Pandas.mp4 -
107 Note Correction in the upcoming video (splitting data).html -
108 Getting Your Data Ready Handling Missing Values With Scikit-learn.en.srt -
108 Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 -
109 Choosing The Right Model For Your Data.en.srt -
109 Choosing The Right Model For Your Data.mp4 -
110 Choosing The Right Model For Your Data 2 (Regression).en.srt -
110 Choosing The Right Model For Your Data 2 (Regression).mp4 -
111 Quick Note Decision Trees.html -
112 Quick Tip How ML Algorithms Work.en.srt -
112 Quick Tip How ML Algorithms Work.mp4 -
113 Choosing The Right Model For Your Data 3 (Classification).en.srt -
113 Choosing The Right Model For Your Data 3 (Classification).mp4 -
114 Fitting A Model To The Data.en.srt -
114 Fitting A Model To The Data.mp4 -
115 Making Predictions With Our Model.en.srt -
115 Making Predictions With Our Model.mp4 -
116 predict() vs predict_proba().en.srt -
116 predict() vs predict_proba().mp4 -
117 Making Predictions With Our Model (Regression).en.srt -
117 Making Predictions With Our Model (Regression).mp4 -
118 Evaluating A Machine Learning Model (Score).en.srt -
118 Evaluating A Machine Learning Model (Score).mp4 -
119 Evaluating A Machine Learning Model 2 (Cross Validation).en.srt -
119 Evaluating A Machine Learning Model 2 (Cross Validation).mp4 -
120 Evaluating A Classification Model 1 (Accuracy).en.srt -
120 Evaluating A Classification Model 1 (Accuracy).mp4 -
121 Evaluating A Classification Model 2 (ROC Curve).en.srt -
121 Evaluating A Classification Model 2 (ROC Curve).mp4 -
122 Evaluating A Classification Model 3 (ROC Curve).en.srt -
122 Evaluating A Classification Model 3 (ROC Curve).mp4 -
123 Evaluating A Classification Model 4 (Confusion Matrix).en.srt -
123 Evaluating A Classification Model 4 (Confusion Matrix).mp4 -
124 Evaluating A Classification Model 5 (Confusion Matrix).en.srt -
124 Evaluating A Classification Model 5 (Confusion Matrix).mp4 -
125 Evaluating A Classification Model 6 (Classification Report).en.srt -
125 Evaluating A Classification Model 6 (Classification Report).mp4 -
126 Evaluating A Regression Model 1 (R2 Score).en.srt -
126 Evaluating A Regression Model 1 (R2 Score).mp4 -
127 Evaluating A Regression Model 2 (MAE).en.srt -
127 Evaluating A Regression Model 2 (MAE).mp4 -
128 Evaluating A Regression Model 3 (MSE).en.srt -
128 Evaluating A Regression Model 3 (MSE).mp4 -
129 Machine Learning Model Evaluation.html -
130 Evaluating A Model With Cross Validation and Scoring Parameter.en.srt -
130 Evaluating A Model With Cross Validation and Scoring Parameter.mp4 -
131 Evaluating A Model With Scikit-learn Functions.en.srt -
131 Evaluating A Model With Scikit-learn Functions.mp4 -
132 Improving A Machine Learning Model.en.srt -
132 Improving A Machine Learning Model.mp4 -
133 Tuning Hyperparameters.en.srt -
133 Tuning Hyperparameters.mp4 -
134 Tuning Hyperparameters 2.en.srt -
134 Tuning Hyperparameters 2.mp4 -
135 Tuning Hyperparameters 3.en.srt -
135 Tuning Hyperparameters 3.mp4 -
136 Quick Tip Correlation Analysis.en.srt -
136 Quick Tip Correlation Analysis.mp4 -
137 Saving And Loading A Model.en.srt -
137 Saving And Loading A Model.mp4 -
138 Saving And Loading A Model 2.en.srt -
138 Saving And Loading A Model 2.mp4 -
139 Putting It All Together.en.srt -
139 Putting It All Together.mp4 -
140 Putting It All Together 2.en.srt -
140 Putting It All Together 2.mp4 -
141 Scikit-Learn Practice.html -
external-assets-links.txt -
142 Milestone Projects.html -
143 Section Overview.en.srt -
143 Section Overview.mp4 -
144 Project Overview.en.srt -
144 Project Overview.mp4 -
145 Project Environment Setup.en.srt -
145 Project Environment Setup.mp4 -
146 Step 1~4 Framework Setup.en.srt -
146 Step 1~4 Framework Setup.mp4 -
147 Getting Our Tools Ready.en.srt -
147 Getting Our Tools Ready.mp4 -
148 Exploring Our Data.en.srt -
148 Exploring Our Data.mp4 -
148 heart-disease.csv -
149 Finding Patterns.en.srt -
149 Finding Patterns.mp4 -
150 Finding Patterns 2.en.srt -
150 Finding Patterns 2.mp4 -
151 Finding Patterns 3.en.srt -
151 Finding Patterns 3.mp4 -
152 Preparing Our Data For Machine Learning.en.srt -
152 Preparing Our Data For Machine Learning.mp4 -
153 Choosing The Right Models.en.srt -
153 Choosing The Right Models.mp4 -
154 Experimenting With Machine Learning Models.en.srt -
154 Experimenting With Machine Learning Models.mp4 -
155 TuningImproving Our Model.en.srt -
155 TuningImproving Our Model.mp4 -
156 Tuning Hyperparameters.en.srt -
156 Tuning Hyperparameters.mp4 -
157 Tuning Hyperparameters 2.en.srt -
157 Tuning Hyperparameters 2.mp4 -
158 Tuning Hyperparameters 3.en.srt -
158 Tuning Hyperparameters 3.mp4 -
159 Evaluating Our Model.en.srt -
159 Evaluating Our Model.mp4 -
160 Evaluating Our Model 2.en.srt -
160 Evaluating Our Model 2.mp4 -
161 Evaluating Our Model 3.en.srt -
161 Evaluating Our Model 3.mp4 -
162 Finding The Most Important Features.en.srt -
162 Finding The Most Important Features.mp4 -
163 Reviewing The Project.en.srt -
163 Reviewing The Project.mp4 -
external-assets-links.txt -
164 Section Overview.en.srt -
164 Section Overview.mp4 -
165 Project Overview.en.srt -
165 Project Overview.mp4 -
166 Project Environment Setup.en.srt -
166 Project Environment Setup.mp4 -
167 Step 1~4 Framework Setup.en.srt -
167 Step 1~4 Framework Setup.mp4 -
168 Exploring Our Data.en.srt -
168 Exploring Our Data.mp4 -
169 Exploring Our Data 2.en.srt -
169 Exploring Our Data 2.mp4 -
170 Feature Engineering.en.srt -
170 Feature Engineering.mp4 -
171 Turning Data Into Numbers.en.srt -
171 Turning Data Into Numbers.mp4 -
172 Filling Missing Numerical Values.en.srt -
172 Filling Missing Numerical Values.mp4 -
173 Filling Missing Categorical Values.en.srt -
173 Filling Missing Categorical Values.mp4 -
174 Fitting A Machine Learning Model.en.srt -
174 Fitting A Machine Learning Model.mp4 -
175 Splitting Data.en.srt -
175 Splitting Data.mp4 -
176 Challenge Whats wrong with splitting data after filling it.html -
177 Custom Evaluation Function.en.srt -
177 Custom Evaluation Function.mp4 -
178 Reducing Data.en.srt -
178 Reducing Data.mp4 -
179 RandomizedSearchCV.en.srt -
179 RandomizedSearchCV.mp4 -
180 Improving Hyperparameters.en.srt -
180 Improving Hyperparameters.mp4 -
181 Preproccessing Our Data.en.srt -
181 Preproccessing Our Data.mp4 -
182 Making Predictions.en.srt -
182 Making Predictions.mp4 -
183 Feature Importance.en.srt -
183 Feature Importance.mp4 -
external-assets-links.txt -
184 Data Engineering Introduction.en.srt -
184 Data Engineering Introduction.mp4 -
185 What Is Data.en.srt -
185 What Is Data.mp4 -
186 What Is A Data Engineer.en.srt -
186 What Is A Data Engineer.mp4 -
187 What Is A Data Engineer 2.en.srt -
187 What Is A Data Engineer 2.mp4 -
188 What Is A Data Engineer 3.en.srt -
188 What Is A Data Engineer 3.mp4 -
189 What Is A Data Engineer 4.en.srt -
189 What Is A Data Engineer 4.mp4 -
190 Types Of Databases.en.srt -
190 Types Of Databases.mp4 -
191 Quick Note Upcoming Video.html -
192 Optional OLTP Databases.en.srt -
192 Optional OLTP Databases.mp4 -
193 Optional Learn SQL.html -
194 Hadoop HDFS and MapReduce.en.srt -
194 Hadoop HDFS and MapReduce.mp4 -
195 Apache Spark and Apache Flink.en.srt -
195 Apache Spark and Apache Flink.mp4 -
196 Kafka and Stream Processing.en.srt -
196 Kafka and Stream Processing.mp4 -
external-assets-links.txt -
197 Section Overview.en.srt -
197 Section Overview.mp4 -
198 Deep Learning and Unstructured Data.en.srt -
198 Deep Learning and Unstructured Data.mp4 -
199 Setting Up With Google.html -
200 Setting Up Google Colab.en.srt -
200 Setting Up Google Colab.mp4 -
201 Google Colab Workspace.en.srt -
201 Google Colab Workspace.mp4 -
202 Uploading Project Data.en.srt -
202 Uploading Project Data.mp4 -
203 Setting Up Our Data.en.srt -
203 Setting Up Our Data.mp4 -
204 Setting Up Our Data 2.en.srt -
204 Setting Up Our Data 2.mp4 -
205 Importing TensorFlow 2.en.srt -
205 Importing TensorFlow 2.mp4 -
206 Optional TensorFlow 2.0 Default Issue.en.srt -
206 Optional TensorFlow 2.0 Default Issue.mp4 -
207 Using A GPU.en.srt -
207 Using A GPU.mp4 -
208 Optional GPU and Google Colab.en.srt -
208 Optional GPU and Google Colab.mp4 -
209 Optional Reloading Colab Notebook.en.srt -
209 Optional Reloading Colab Notebook.mp4 -
210 Loading Our Data Labels.en.srt -
210 Loading Our Data Labels.mp4 -
211 Preparing The Images.en.srt -
211 Preparing The Images.mp4 -
212 Turning Data Labels Into Numbers.en.srt -
212 Turning Data Labels Into Numbers.mp4 -
213 Creating Our Own Validation Set.en.srt -
213 Creating Our Own Validation Set.mp4 -
214 Preprocess Images.en.srt -
214 Preprocess Images.mp4 -
215 Preprocess Images 2.en.srt -
215 Preprocess Images 2.mp4 -
216 Turning Data Into Batches.en.srt -
216 Turning Data Into Batches.mp4 -
217 Turning Data Into Batches 2.en.srt -
217 Turning Data Into Batches 2.mp4 -
218 Visualizing Our Data.en.srt -
218 Visualizing Our Data.mp4 -
219 Preparing Our Inputs and Outputs.en.srt -
219 Preparing Our Inputs and Outputs.mp4 -
220 Optional How machines learn and whats going on behind the scenes.html -
221 Building A Deep Learning Model.en.srt -
221 Building A Deep Learning Model.mp4 -
222 Building A Deep Learning Model 2.en.srt -
222 Building A Deep Learning Model 2.mp4 -
223 Building A Deep Learning Model 3.en.srt -
223 Building A Deep Learning Model 3.mp4 -
224 Building A Deep Learning Model 4.en.srt -
224 Building A Deep Learning Model 4.mp4 -
225 Summarizing Our Model.en.srt -
225 Summarizing Our Model.mp4 -
226 Evaluating Our Model.en.srt -
226 Evaluating Our Model.mp4 -
227 Preventing Overfitting.en.srt -
227 Preventing Overfitting.mp4 -
228 Training Your Deep Neural Network.en.srt -
228 Training Your Deep Neural Network.mp4 -
229 Evaluating Performance With TensorBoard.en.srt -
229 Evaluating Performance With TensorBoard.mp4 -
230 Make And Transform Predictions.en.srt -
230 Make And Transform Predictions.mp4 -
231 Transform Predictions To Text.en.srt -
231 Transform Predictions To Text.mp4 -
232 Visualizing Model Predictions.en.srt -
232 Visualizing Model Predictions.mp4 -
233 Visualizing And Evaluate Model Predictions 2.en.srt -
233 Visualizing And Evaluate Model Predictions 2.mp4 -
234 Visualizing And Evaluate Model Predictions 3.en.srt -
234 Visualizing And Evaluate Model Predictions 3.mp4 -
235 Saving And Loading A Trained Model.en.srt -
235 Saving And Loading A Trained Model.mp4 -
236 Training Model On Full Dataset.en.srt -
236 Training Model On Full Dataset.mp4 -
237 Making Predictions On Test Images.en.srt -
237 Making Predictions On Test Images.mp4 -
238 Submitting Model to Kaggle.en.srt -
238 Submitting Model to Kaggle.mp4 -
239 Making Predictions On Our Images.en.srt -
239 Making Predictions On Our Images.mp4 -
240 Finishing Dog Vision Where to next.html -
external-assets-links.txt -
241 Section Overview.en.srt -
241 Section Overview.mp4 -
242 Communicating Your Work.en.srt -
242 Communicating Your Work.mp4 -
243 Communicating With Managers.en.srt -
243 Communicating With Managers.mp4 -
244 Communicating With Co-Workers.en.srt -
244 Communicating With Co-Workers.mp4 -
245 Weekend Project Principle.en.srt -
245 Weekend Project Principle.mp4 -
246 Communicating With Outside World.en.srt -
246 Communicating With Outside World.mp4 -
247 Storytelling.en.srt -
247 Storytelling.mp4 -
248 Communicating and sharing your work Further reading.html -
external-assets-links.txt -
249 Endorsements On LinkedIn.html -
250 Quick Note Upcoming Video.html -
251 What If I Dont Have Enough Experience.en.srt -
251 What If I Dont Have Enough Experience.mp4 -
252 Learning Guideline.html -
253 Quick Note Upcoming Videos.html -
254 JTS Learn to Learn.en.srt -
254 JTS Learn to Learn.mp4 -
255 JTS Start With Why.en.srt -
255 JTS Start With Why.mp4 -
256 Quick Note Upcoming Videos.html -
257 CWD Git Github.en.srt -
257 CWD Git Github.mp4 -
258 CWD Git Github 2.en.srt -
258 CWD Git Github 2.mp4 -
259 Contributing To Open Source.en.srt -
259 Contributing To Open Source.mp4 -
260 Contributing To Open Source 2.en.srt -
260 Contributing To Open Source 2.mp4 -
261 Coding Challenges.html -
262 Exercise Contribute To Open Source.html -
263 What Is A Programming Language.en.srt -
263 What Is A Programming Language.mp4 -
264 Python Interpreter.en.srt -
264 Python Interpreter.mp4 -
265 How To Run Python Code.en.srt -
265 How To Run Python Code.mp4 -
266 Our First Python Program.en.srt -
266 Our First Python Program.mp4 -
267 Python 2 vs Python 3.en.srt -
267 Python 2 vs Python 3.mp4 -
268 Exercise How Does Python Work.en.srt -
268 Exercise How Does Python Work.mp4 -
269 Learning Python.en.srt -
269 Learning Python.mp4 -
270 Python Data Types.en.srt -
270 Python Data Types.mp4 -
271 How To Succeed.html -
272 Numbers.en.srt -
272 Numbers.mp4 -
273 Math Functions.en.srt -
273 Math Functions.mp4 -
274 DEVELOPER FUNDAMENTALS I.en.srt -
274 DEVELOPER FUNDAMENTALS I.mp4 -
275 Operator Precedence.en.srt -
275 Operator Precedence.mp4 -
276 Exercise Operator Precedence.html -
277 Optional bin() and complex.en.srt -
277 Optional bin() and complex.mp4 -
278 Variables.en.srt -
278 Variables.mp4 -
279 Expressions vs Statements.en.srt -
279 Expressions vs Statements.mp4 -
280 Augmented Assignment Operator.en.srt -
280 Augmented Assignment Operator.mp4 -
281 Strings.en.srt -
281 Strings.mp4 -
282 String Concatenation.en.srt -
282 String Concatenation.mp4 -
283 Type Conversion.en.srt -
283 Type Conversion.mp4 -
284 Escape Sequences.en.srt -
284 Escape Sequences.mp4 -
285 Formatted Strings.en.srt -
285 Formatted Strings.mp4 -
286 String Indexes.en.srt -
286 String Indexes.mp4 -
287 Immutability.en.srt -
287 Immutability.mp4 -
288 Built-In Functions Methods.en.srt -
288 Built-In Functions Methods.mp4 -
289 Booleans.en.srt -
289 Booleans.mp4 -
290 Exercise Type Conversion.en.srt -
290 Exercise Type Conversion.mp4 -
291 DEVELOPER FUNDAMENTALS II.en.srt -
291 DEVELOPER FUNDAMENTALS II.mp4 -
292 Exercise Password Checker.en.srt -
292 Exercise Password Checker.mp4 -
293 Lists.en.srt -
293 Lists.mp4 -
294 List Slicing.en.srt -
294 List Slicing.mp4 -
295 Matrix.en.srt -
295 Matrix.mp4 -
296 List Methods.en.srt -
296 List Methods.mp4 -
297 List Methods 2.en.srt -
297 List Methods 2.mp4 -
298 List Methods 3.en.srt -
298 List Methods 3.mp4 -
299 Common List Patterns.en.srt -
299 Common List Patterns.mp4 -
300 List Unpacking.en.srt -
300 List Unpacking.mp4 -
301 None.en.srt -
301 None.mp4 -
302 Dictionaries.en.srt -
302 Dictionaries.mp4 -
303 DEVELOPER FUNDAMENTALS III.en.srt -
303 DEVELOPER FUNDAMENTALS III.mp4 -
304 Dictionary Keys.en.srt -
304 Dictionary Keys.mp4 -
305 Dictionary Methods.en.srt -
305 Dictionary Methods.mp4 -
306 Dictionary Methods 2.en.srt -
306 Dictionary Methods 2.mp4 -
307 Tuples.en.srt -
307 Tuples.mp4 -
308 Tuples 2.en.srt -
308 Tuples 2.mp4 -
309 Sets.en.srt -
309 Sets.mp4 -
310 Sets 2.en.srt -
310 Sets 2.mp4 -
external-assets-links.txt -
311 Breaking The Flow.en.srt -
311 Breaking The Flow.mp4 -
312 Conditional Logic.en.srt -
312 Conditional Logic.mp4 -
313 Indentation In Python.en.srt -
313 Indentation In Python.mp4 -
314 Truthy vs Falsey.en.srt -
314 Truthy vs Falsey.mp4 -
315 Ternary Operator.en.srt -
315 Ternary Operator.mp4 -
316 Short Circuiting.en.srt -
316 Short Circuiting.mp4 -
317 Logical Operators.en.srt -
317 Logical Operators.mp4 -
318 Exercise Logical Operators.en.srt -
318 Exercise Logical Operators.mp4 -
319 is vs.en.srt -
319 is vs.mp4 -
320 For Loops.en.srt -
320 For Loops.mp4 -
321 Iterables.en.srt -
321 Iterables.mp4 -
322 Exercise Tricky Counter.en.srt -
322 Exercise Tricky Counter.mp4 -
323 range().en.srt -
323 range().mp4 -
324 enumerate().en.srt -
324 enumerate().mp4 -
325 While Loops.en.srt -
325 While Loops.mp4 -
326 While Loops 2.en.srt -
326 While Loops 2.mp4 -
327 break continue pass.en.srt -
327 break continue pass.mp4 -
328 Our First GUI.en.srt -
328 Our First GUI.mp4 -
329 DEVELOPER FUNDAMENTALS IV.en.srt -
329 DEVELOPER FUNDAMENTALS IV.mp4 -
330 Exercise Find Duplicates.en.srt -
330 Exercise Find Duplicates.mp4 -
331 Functions.en.srt -
331 Functions.mp4 -
332 Parameters and Arguments.en.srt -
332 Parameters and Arguments.mp4 -
333 Default Parameters and Keyword Arguments.en.srt -
333 Default Parameters and Keyword Arguments.mp4 -
334 return.en.srt -
334 return.mp4 -
335 Exercise Tesla.html -
336 Methods vs Functions.en.srt -
336 Methods vs Functions.mp4 -
337 Docstrings.en.srt -
337 Docstrings.mp4 -
338 Clean Code.en.srt -
338 Clean Code.mp4 -
339 args and kwargs.en.srt -
339 args and kwargs.mp4 -
340 Exercise Functions.en.srt -
340 Exercise Functions.mp4 -
341 Scope.en.srt -
341 Scope.mp4 -
342 Scope Rules.en.srt -
342 Scope Rules.mp4 -
343 global Keyword.en.srt -
343 global Keyword.mp4 -
344 nonlocal Keyword.en.srt -
344 nonlocal Keyword.mp4 -
345 Why Do We Need Scope.en.srt -
345 Why Do We Need Scope.mp4 -
346 Pure Functions.en.srt -
346 Pure Functions.mp4 -
347 map().en.srt -
347 map().mp4 -
348 filter().en.srt -
348 filter().mp4 -
349 zip().en.srt -
349 zip().mp4 -
350 reduce().en.srt -
350 reduce().mp4 -
351 List Comprehensions.en.srt -
351 List Comprehensions.mp4 -
352 Set Comprehensions.en.srt -
352 Set Comprehensions.mp4 -
353 Exercise Comprehensions.en.srt -
353 Exercise Comprehensions.mp4 -
354 Python Exam Testing Your Understanding.html -
355 Modules in Python.en.srt -
355 Modules in Python.mp4 -
356 Quick Note Upcoming Videos.html -
357 Optional PyCharm.en.srt -
357 Optional PyCharm.mp4 -
358 Packages in Python.en.srt -
358 Packages in Python.mp4 -
359 Different Ways To Import.en.srt -
359 Different Ways To Import.mp4 -
360 Next Steps.html -
external-assets-links.txt -
361 Statistics and Mathematics.html -
362 Become An Alumni.html -
363 Thank You.en.srt -
363 Thank You.mp4 -
364 Bonus Special Thank You Gift.html -
[CourseClub.Me].url -
[DesireCourse.Net].url -
[FreeCourseWorld.Com].url -
Please login or create a FREE account to post comments
[CourseClub.Me].url -
48 bytes
[DesireCourse.Net].url -
51 bytes
[FreeCourseWorld.Com].url -
54 bytes
001 Course Outline.en.srt -
8.9 KB
001 Course Outline.mp4 -
77.3 MB
002 Join Our Online Classroom.html -
3.2 KB
003 Exercise Meet The Community.html -
3.4 KB
004 Your First Day.en.srt -
5.3 KB
004 Your First Day.mp4 -
27.9 MB
005 What Is Machine Learning.en.srt -
8.7 KB
005 What Is Machine Learning.mp4 -
28.3 MB
006 AIMachine LearningData Science.en.srt -
6.4 KB
006 AIMachine LearningData Science.mp4 -
19.7 MB
007 Exercise Machine Learning Playground.en.srt -
8.1 KB
007 Exercise Machine Learning Playground.mp4 -
42.6 MB
008 How Did We Get Here.en.srt -
7.1 KB
008 How Did We Get Here.mp4 -
30.5 MB
009 Exercise YouTube Recommendation Engine.en.srt -
5.7 KB
009 Exercise YouTube Recommendation Engine.mp4 -
19.4 MB
010 Types of Machine Learning.en.srt -
5.3 KB
010 Types of Machine Learning.mp4 -
22.7 MB
011 Are You Getting It Yet.html -
1023 bytes
012 What Is Machine Learning Round 2.en.srt -
6.1 KB
012 What Is Machine Learning Round 2.mp4 -
25.5 MB
013 Section Review.en.srt -
2.3 KB
013 Section Review.mp4 -
5.6 MB
external-assets-links.txt -
125 bytes
014 Section Overview.en.srt -
4.7 KB
014 Section Overview.mp4 -
13.3 MB
015 Introducing Our Framework.en.srt -
3.7 KB
015 Introducing Our Framework.mp4 -
11.4 MB
016 6 Step Machine Learning Framework.en.srt -
6.6 KB
016 6 Step Machine Learning Framework.mp4 -
23.5 MB
017 Types of Machine Learning Problems.en.srt -
14.0 KB
017 Types of Machine Learning Problems.mp4 -
60.5 MB
018 Types of Data.en.srt -
6.5 KB
018 Types of Data.mp4 -
29.3 MB
019 Types of Evaluation.en.srt -
4.3 KB
019 Types of Evaluation.mp4 -
17.8 MB
020 Features In Data.en.srt -
6.8 KB
020 Features In Data.mp4 -
36.8 MB
021 Modelling - Splitting Data.en.srt -
7.7 KB
021 Modelling - Splitting Data.mp4 -
27.5 MB
022 Modelling - Picking the Model.en.srt -
6.2 KB
022 Modelling - Picking the Model.mp4 -
23.2 MB
023 Modelling - Tuning.en.srt -
4.9 KB
023 Modelling - Tuning.mp4 -
16.0 MB
024 Modelling - Comparison.en.srt -
13.1 KB
024 Modelling - Comparison.mp4 -
44.9 MB
025 Overfitting and Underfitting Definitions.html -
2.6 KB
026 Experimentation.en.srt -
5.0 KB
026 Experimentation.mp4 -
21.3 MB
027 Tools We Will Use.en.srt -
6.0 KB
027 Tools We Will Use.mp4 -
27.3 MB
028 Optional Elements of AI.html -
1.8 KB
external-assets-links.txt -
155 bytes
029 The 2 Paths.en.srt -
4.7 KB
029 The 2 Paths.mp4 -
9.7 MB
030 Python Machine Learning Monthly.html -
1.6 KB
031 Section Overview.en.srt -
2.1 KB
031 Section Overview.mp4 -
6.0 MB
032 Introducing Our Tools.en.srt -
4.3 KB
032 Introducing Our Tools.mp4 -
19.3 MB
033 What is Conda.en.srt -
3.4 KB
033 What is Conda.mp4 -
12.5 MB
033 conda-cheatsheet.pdf -
201.3 KB
034 Conda Environments.en.srt -
6.1 KB
034 Conda Environments.mp4 -
30.6 MB
035 Mac Environment Setup.en.srt -
23.9 KB
035 Mac Environment Setup.mp4 -
144.4 MB
036 Mac Environment Setup 2.en.srt -
20.7 KB
036 Mac Environment Setup 2.mp4 -
125.5 MB
037 Windows Environment Setup.en.srt -
7.6 KB
037 Windows Environment Setup.mp4 -
47.9 MB
038 Windows Environment Setup 2.en.srt -
31.6 KB
038 Windows Environment Setup 2.mp4 -
227.6 MB
039 Linux Environment Setup.html -
1.9 KB
040 Sharing your Conda Environment.html -
3.3 KB
041 6-step-ml-framework.png -
324.2 KB
041 Jupyter Notebook Walkthrough.en.srt -
15.1 KB
041 Jupyter Notebook Walkthrough.mp4 -
67.3 MB
041 heart-disease.csv -
11.1 KB
042 Jupyter Notebook Walkthrough 2.en.srt -
22.5 KB
042 Jupyter Notebook Walkthrough 2.mp4 -
103.9 MB
043 Jupyter Notebook Walkthrough 3.en.srt -
11.5 KB
043 Jupyter Notebook Walkthrough 3.mp4 -
71.4 MB
external-assets-links.txt -
949 bytes
044 Section Overview.en.srt -
3.7 KB
044 Section Overview.mp4 -
10.9 MB
045 Downloading Workbooks and Assignments.html -
1.8 KB
046 Pandas Introduction.mp4 -
27.4 MB
047 Series Data Frames and CSVs.en.srt -
16.8 KB
047 Series Data Frames and CSVs.mp4 -
95.4 MB
047 pandas-anatomy-of-a-dataframe.png -
333.2 KB
048 Data from URLs.html -
1.9 KB
049 Describing Data with Pandas.en.srt -
13.6 KB
049 Describing Data with Pandas.mp4 -
75.6 MB
050 Selecting and Viewing Data with Pandas.en.srt -
14.6 KB
050 Selecting and Viewing Data with Pandas.mp4 -
72.3 MB
050 car-sales.csv -
369 bytes
051 Selecting and Viewing Data with Pandas Part 2.en.srt -
17.9 KB
051 Selecting and Viewing Data with Pandas Part 2.mp4 -
106.5 MB
052 Manipulating Data.en.srt -
18.1 KB
052 Manipulating Data.mp4 -
105.0 MB
052 car-sales-missing-data.csv -
287 bytes
053 Manipulating Data 2.en.srt -
13.8 KB
053 Manipulating Data 2.mp4 -
86.5 MB
053 pandas-anatomy-of-a-dataframe.png -
333.2 KB
054 Manipulating Data 3.en.srt -
13.7 KB
054 Manipulating Data 3.mp4 -
91.0 MB
055 Assignment Pandas Practice.html -
2.9 KB
056 How To Download The Course Assignments.en.srt -
11.1 KB
056 How To Download The Course Assignments.mp4 -
66.8 MB
external-assets-links.txt -
1.2 KB
057 Section Overview.en.srt -
3.1 KB
057 Section Overview.mp4 -
13.3 MB
058 NumPy Introduction.en.srt -
7.5 KB
058 NumPy Introduction.mp4 -
26.8 MB
059 Quick Note Correction In Next Video.html -
2.1 KB
060 NumPy DataTypes and Attributes.en.srt -
19.2 KB
060 NumPy DataTypes and Attributes.mp4 -
79.0 MB
061 Creating NumPy Arrays.en.srt -
12.4 KB
061 Creating NumPy Arrays.mp4 -
66.8 MB
062 NumPy Random Seed.en.srt -
9.7 KB
062 NumPy Random Seed.mp4 -
51.9 MB
063 Viewing Arrays and Matrices.en.srt -
12.9 KB
063 Viewing Arrays and Matrices.mp4 -
70.6 MB
064 Manipulating Arrays.en.srt -
16.2 KB
064 Manipulating Arrays.mp4 -
80.7 MB
065 Manipulating Arrays 2.en.srt -
11.5 KB
065 Manipulating Arrays 2.mp4 -
67.9 MB
066 Standard Deviation and Variance.en.srt -
9.3 KB
066 Standard Deviation and Variance.mp4 -
51.2 MB
067 Reshape and Transpose.en.srt -
9.5 KB
067 Reshape and Transpose.mp4 -
53.5 MB
068 Dot Product vs Element Wise.en.srt -
15.3 KB
068 Dot Product vs Element Wise.mp4 -
83.9 MB
069 Exercise Nut Butter Store Sales.en.srt -
17.0 KB
069 Exercise Nut Butter Store Sales.mp4 -
91.3 MB
070 Comparison Operators.en.srt -
5.3 KB
070 Comparison Operators.mp4 -
26.4 MB
071 Sorting Arrays.en.srt -
8.8 KB
071 Sorting Arrays.mp4 -
32.8 MB
072 Turn Images Into NumPy Arrays.en.srt -
10.4 KB
072 Turn Images Into NumPy Arrays.mp4 -
85.9 MB
072 numpy-images.zip -
7.3 MB
073 Assignment NumPy Practice.html -
3.0 KB
074 Optional Extra NumPy resources.html -
1.9 KB
external-assets-links.txt -
1.2 KB
075 Section Overview.en.srt -
2.7 KB
075 Section Overview.mp4 -
8.6 MB
076 Matplotlib Introduction.en.srt -
8.0 KB
076 Matplotlib Introduction.mp4 -
31.5 MB
077 Importing And Using Matplotlib.en.srt -
16.0 KB
077 Importing And Using Matplotlib.mp4 -
86.4 MB
078 Anatomy Of A Matplotlib Figure.en.srt -
14.2 KB
078 Anatomy Of A Matplotlib Figure.mp4 -
82.2 MB
078 matplotlib-anatomy-of-a-plot-with-code.png -
654.8 KB
078 matplotlib-anatomy-of-a-plot.png -
369.4 KB
079 Scatter Plot And Bar Plot.en.srt -
14.7 KB
079 Scatter Plot And Bar Plot.mp4 -
67.0 MB
080 Histograms And Subplots.en.srt -
12.4 KB
080 Histograms And Subplots.mp4 -
69.7 MB
081 Subplots Option 2.en.srt -
6.4 KB
081 Subplots Option 2.mp4 -
38.1 MB
082 Quick Tip Data Visualizations.en.srt -
2.3 KB
082 Quick Tip Data Visualizations.mp4 -
12.3 MB
083 Plotting From Pandas DataFrames.en.srt -
9.0 KB
083 Plotting From Pandas DataFrames.mp4 -
60.3 MB
084 Quick Note Regular Expressions.html -
1.5 KB
085 Plotting From Pandas DataFrames 2.en.srt -
13.6 KB
085 Plotting From Pandas DataFrames 2.mp4 -
98.8 MB
086 Plotting from Pandas DataFrames 3.en.srt -
11.5 KB
086 Plotting from Pandas DataFrames 3.mp4 -
74.7 MB
087 Plotting from Pandas DataFrames 4.en.srt -
9.4 KB
087 Plotting from Pandas DataFrames 4.mp4 -
49.0 MB
087 heart-disease.csv -
11.1 KB
088 Plotting from Pandas DataFrames 5.en.srt -
11.6 KB
088 Plotting from Pandas DataFrames 5.mp4 -
57.0 MB
089 Plotting from Pandas DataFrames 6.en.srt -
11.1 KB
089 Plotting from Pandas DataFrames 6.mp4 -
82.0 MB
090 Plotting from Pandas DataFrames 7.en.srt -
14.9 KB
090 Plotting from Pandas DataFrames 7.mp4 -
119.8 MB
091 Customizing Your Plots.en.srt -
14.0 KB
091 Customizing Your Plots.mp4 -
92.2 MB
092 Customizing Your Plots 2.en.srt -
13.3 KB
092 Customizing Your Plots 2.mp4 -
123.6 MB
093 Saving And Sharing Your Plots.en.srt -
5.8 KB
093 Saving And Sharing Your Plots.mp4 -
49.5 MB
094 Assignment Matplotlib Practice.html -
2.9 KB
external-assets-links.txt -
476 bytes
095 Section Overview.en.srt -
4.1 KB
095 Section Overview.mp4 -
12.5 MB
096 Scikit-learn Introduction.en.srt -
10.6 KB
096 Scikit-learn Introduction.mp4 -
40.6 MB
097 Quick Note Upcoming Video.html -
1.2 KB
098 Refresher What Is Machine Learning.en.srt -
6.3 KB
098 Refresher What Is Machine Learning.mp4 -
88.3 MB
099 Quick Note Upcoming Videos.html -
1.8 KB
100 Scikit-learn Cheatsheet.en.srt -
10.1 KB
100 Scikit-learn Cheatsheet.mp4 -
75.1 MB
101 Typical scikit-learn Workflow.en.srt -
31.7 KB
101 Typical scikit-learn Workflow.mp4 -
190.2 MB
102 Optional Debugging Warnings In Jupyter.en.srt -
25.5 KB
102 Optional Debugging Warnings In Jupyter.mp4 -
176.1 MB
103 Getting Your Data Ready Splitting Your Data.en.srt -
12.1 KB
103 Getting Your Data Ready Splitting Your Data.mp4 -
63.7 MB
103 scikit-learn-data.zip -
20.8 KB
104 Quick Tip Clean Transform Reduce.en.srt -
6.4 KB
104 Quick Tip Clean Transform Reduce.mp4 -
16.5 MB
105 Getting Your Data Ready Convert Data To Numbers.en.srt -
22.7 KB
105 Getting Your Data Ready Convert Data To Numbers.mp4 -
135.0 MB
106 Getting Your Data Ready Handling Missing Values With Pandas.en.srt -
16.9 KB
106 Getting Your Data Ready Handling Missing Values With Pandas.mp4 -
104.8 MB
107 Note Correction in the upcoming video (splitting data).html -
3.0 KB
108 Getting Your Data Ready Handling Missing Values With Scikit-learn.en.srt -
23.1 KB
108 Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 -
136.9 MB
109 Choosing The Right Model For Your Data.en.srt -
21.4 KB
109 Choosing The Right Model For Your Data.mp4 -
143.3 MB
110 Choosing The Right Model For Your Data 2 (Regression).en.srt -
12.0 KB
110 Choosing The Right Model For Your Data 2 (Regression).mp4 -
86.9 MB
111 Quick Note Decision Trees.html -
1.1 KB
112 Quick Tip How ML Algorithms Work.en.srt -
1.9 KB
112 Quick Tip How ML Algorithms Work.mp4 -
11.1 MB
113 Choosing The Right Model For Your Data 3 (Classification).en.srt -
17.1 KB
113 Choosing The Right Model For Your Data 3 (Classification).mp4 -
118.8 MB
114 Fitting A Model To The Data.en.srt -
9.3 KB
114 Fitting A Model To The Data.mp4 -
56.6 MB
115 Making Predictions With Our Model.en.srt -
12.1 KB
115 Making Predictions With Our Model.mp4 -
66.5 MB
116 predict() vs predict_proba().en.srt -
11.6 KB
116 predict() vs predict_proba().mp4 -
54.3 MB
117 Making Predictions With Our Model (Regression).en.srt -
9.1 KB
117 Making Predictions With Our Model (Regression).mp4 -
44.9 MB
118 Evaluating A Machine Learning Model (Score).en.srt -
12.9 KB
118 Evaluating A Machine Learning Model (Score).mp4 -
87.1 MB
119 Evaluating A Machine Learning Model 2 (Cross Validation).en.srt -
17.3 KB
119 Evaluating A Machine Learning Model 2 (Cross Validation).mp4 -
96.0 MB
120 Evaluating A Classification Model 1 (Accuracy).en.srt -
5.9 KB
120 Evaluating A Classification Model 1 (Accuracy).mp4 -
31.4 MB
121 Evaluating A Classification Model 2 (ROC Curve).en.srt -
12.3 KB
121 Evaluating A Classification Model 2 (ROC Curve).mp4 -
66.0 MB
122 Evaluating A Classification Model 3 (ROC Curve).en.srt -
10.0 KB
122 Evaluating A Classification Model 3 (ROC Curve).mp4 -
50.6 MB
123 Evaluating A Classification Model 4 (Confusion Matrix).en.srt -
15.1 KB
123 Evaluating A Classification Model 4 (Confusion Matrix).mp4 -
77.7 MB
124 Evaluating A Classification Model 5 (Confusion Matrix).en.srt -
11.2 KB
124 Evaluating A Classification Model 5 (Confusion Matrix).mp4 -
63.6 MB
125 Evaluating A Classification Model 6 (Classification Report).en.srt -
14.6 KB
125 Evaluating A Classification Model 6 (Classification Report).mp4 -
87.2 MB
126 Evaluating A Regression Model 1 (R2 Score).en.srt -
12.0 KB
126 Evaluating A Regression Model 1 (R2 Score).mp4 -
70.4 MB
127 Evaluating A Regression Model 2 (MAE).en.srt -
5.7 KB
127 Evaluating A Regression Model 2 (MAE).mp4 -
28.5 MB
128 Evaluating A Regression Model 3 (MSE).en.srt -
9.2 KB
128 Evaluating A Regression Model 3 (MSE).mp4 -
54.9 MB
129 Machine Learning Model Evaluation.html -
8.0 KB
130 Evaluating A Model With Cross Validation and Scoring Parameter.en.srt -
18.0 KB
130 Evaluating A Model With Cross Validation and Scoring Parameter.mp4 -
91.5 MB
131 Evaluating A Model With Scikit-learn Functions.en.srt -
16.3 KB
131 Evaluating A Model With Scikit-learn Functions.mp4 -
94.8 MB
132 Improving A Machine Learning Model.en.srt -
14.9 KB
132 Improving A Machine Learning Model.mp4 -
90.9 MB
133 Tuning Hyperparameters.en.srt -
30.5 KB
133 Tuning Hyperparameters.mp4 -
175.6 MB
134 Tuning Hyperparameters 2.en.srt -
17.0 KB
134 Tuning Hyperparameters 2.mp4 -
116.8 MB
135 Tuning Hyperparameters 3.en.srt -
18.8 KB
135 Tuning Hyperparameters 3.mp4 -
121.8 MB
136 Quick Tip Correlation Analysis.en.srt -
3.1 KB
136 Quick Tip Correlation Analysis.mp4 -
16.9 MB
137 Saving And Loading A Model.en.srt -
9.8 KB
137 Saving And Loading A Model.mp4 -
52.6 MB
138 Saving And Loading A Model 2.en.srt -
9.0 KB
138 Saving And Loading A Model 2.mp4 -
56.8 MB
139 Putting It All Together.en.srt -
26.4 KB
139 Putting It All Together.mp4 -
158.4 MB
140 Putting It All Together 2.en.srt -
16.1 KB
140 Putting It All Together 2.mp4 -
116.9 MB
141 Scikit-Learn Practice.html -
2.9 KB
external-assets-links.txt -
1.4 KB
142 Milestone Projects.html -
1.6 KB
143 Section Overview.en.srt -
3.1 KB
143 Section Overview.mp4 -
10.2 MB
144 Project Overview.en.srt -
10.0 KB
144 Project Overview.mp4 -
34.4 MB
145 Project Environment Setup.en.srt -
14.4 KB
145 Project Environment Setup.mp4 -
100.8 MB
146 Step 1~4 Framework Setup.en.srt -
16.6 KB
146 Step 1~4 Framework Setup.mp4 -
105.5 MB
147 Getting Our Tools Ready.en.srt -
12.8 KB
147 Getting Our Tools Ready.mp4 -
79.4 MB
148 Exploring Our Data.en.srt -
11.4 KB
148 Exploring Our Data.mp4 -
66.9 MB
148 heart-disease.csv -
11.1 KB
149 Finding Patterns.en.srt -
13.4 KB
149 Finding Patterns.mp4 -
63.3 MB
150 Finding Patterns 2.en.srt -
22.3 KB
150 Finding Patterns 2.mp4 -
99.9 MB
151 Finding Patterns 3.en.srt -
18.9 KB
151 Finding Patterns 3.mp4 -
137.9 MB
152 Preparing Our Data For Machine Learning.en.srt -
12.0 KB
152 Preparing Our Data For Machine Learning.mp4 -
72.6 MB
153 Choosing The Right Models.en.srt -
13.0 KB
153 Choosing The Right Models.mp4 -
96.4 MB
154 Experimenting With Machine Learning Models.en.srt -
9.6 KB
154 Experimenting With Machine Learning Models.mp4 -
55.3 MB
155 TuningImproving Our Model.en.srt -
17.6 KB
155 TuningImproving Our Model.mp4 -
102.8 MB
156 Tuning Hyperparameters.en.srt -
15.7 KB
156 Tuning Hyperparameters.mp4 -
108.0 MB
157 Tuning Hyperparameters 2.en.srt -
15.1 KB
157 Tuning Hyperparameters 2.mp4 -
104.1 MB
158 Tuning Hyperparameters 3.en.srt -
9.9 KB
158 Tuning Hyperparameters 3.mp4 -
63.0 MB
159 Evaluating Our Model.en.srt -
15.1 KB
159 Evaluating Our Model.mp4 -
71.6 MB
160 Evaluating Our Model 2.en.srt -
7.4 KB
160 Evaluating Our Model 2.mp4 -
41.5 MB
161 Evaluating Our Model 3.en.srt -
11.5 KB
161 Evaluating Our Model 3.mp4 -
64.8 MB
162 Finding The Most Important Features.en.srt -
22.3 KB
162 Finding The Most Important Features.mp4 -
127.5 MB
163 Reviewing The Project.en.srt -
13.8 KB
163 Reviewing The Project.mp4 -
86.1 MB
external-assets-links.txt -
1001 bytes
164 Section Overview.en.srt -
1.8 KB
164 Section Overview.mp4 -
8.9 MB
165 Project Overview.en.srt -
6.7 KB
165 Project Overview.mp4 -
32.9 MB
166 Project Environment Setup.en.srt -
15.9 KB
166 Project Environment Setup.mp4 -
101.3 MB
167 Step 1~4 Framework Setup.en.srt -
12.4 KB
167 Step 1~4 Framework Setup.mp4 -
85.7 MB
168 Exploring Our Data.en.srt -
20.0 KB
168 Exploring Our Data.mp4 -
137.8 MB
169 Exploring Our Data 2.en.srt -
8.6 KB
169 Exploring Our Data 2.mp4 -
52.0 MB
170 Feature Engineering.en.srt -
22.1 KB
170 Feature Engineering.mp4 -
159.1 MB
171 Turning Data Into Numbers.en.srt -
22.3 KB
171 Turning Data Into Numbers.mp4 -
146.2 MB
172 Filling Missing Numerical Values.en.srt -
16.9 KB
172 Filling Missing Numerical Values.mp4 -
106.3 MB
173 Filling Missing Categorical Values.en.srt -
11.2 KB
173 Filling Missing Categorical Values.mp4 -
66.9 MB
174 Fitting A Machine Learning Model.en.srt -
10.5 KB
174 Fitting A Machine Learning Model.mp4 -
55.5 MB
175 Splitting Data.en.srt -
13.5 KB
175 Splitting Data.mp4 -
82.7 MB
176 Challenge Whats wrong with splitting data after filling it.html -
2.4 KB
177 Custom Evaluation Function.en.srt -
16.1 KB
177 Custom Evaluation Function.mp4 -
103.3 MB
178 Reducing Data.en.srt -
14.6 KB
178 Reducing Data.mp4 -
93.5 MB
179 RandomizedSearchCV.en.srt -
12.7 KB
179 RandomizedSearchCV.mp4 -
85.8 MB
180 Improving Hyperparameters.en.srt -
11.0 KB
180 Improving Hyperparameters.mp4 -
79.3 MB
181 Preproccessing Our Data.en.srt -
17.8 KB
181 Preproccessing Our Data.mp4 -
139.3 MB
182 Making Predictions.en.srt -
11.4 KB
182 Making Predictions.mp4 -
79.2 MB
183 Feature Importance.en.srt -
17.3 KB
183 Feature Importance.mp4 -
142.3 MB
external-assets-links.txt -
1.2 KB
184 Data Engineering Introduction.en.srt -
4.3 KB
184 Data Engineering Introduction.mp4 -
13.5 MB
185 What Is Data.en.srt -
7.6 KB
185 What Is Data.mp4 -
42.2 MB
186 What Is A Data Engineer.en.srt -
4.9 KB
186 What Is A Data Engineer.mp4 -
15.2 MB
187 What Is A Data Engineer 2.en.srt -
6.3 KB
187 What Is A Data Engineer 2.mp4 -
24.2 MB
188 What Is A Data Engineer 3.en.srt -
5.4 KB
188 What Is A Data Engineer 3.mp4 -
24.3 MB
189 What Is A Data Engineer 4.en.srt -
3.9 KB
189 What Is A Data Engineer 4.mp4 -
14.9 MB
190 Types Of Databases.en.srt -
8.4 KB
190 Types Of Databases.mp4 -
32.6 MB
191 Quick Note Upcoming Video.html -
1.3 KB
192 Optional OLTP Databases.en.srt -
12.1 KB
192 Optional OLTP Databases.mp4 -
79.7 MB
193 Optional Learn SQL.html -
1.2 KB
194 Hadoop HDFS and MapReduce.en.srt -
4.7 KB
194 Hadoop HDFS and MapReduce.mp4 -
10.1 MB
195 Apache Spark and Apache Flink.en.srt -
2.3 KB
195 Apache Spark and Apache Flink.mp4 -
5.8 MB
196 Kafka and Stream Processing.en.srt -
5.0 KB
196 Kafka and Stream Processing.mp4 -
19.2 MB
external-assets-links.txt -
220 bytes
197 Section Overview.en.srt -
2.8 KB
197 Section Overview.mp4 -
12.2 MB
198 Deep Learning and Unstructured Data.en.srt -
20.2 KB
198 Deep Learning and Unstructured Data.mp4 -
102.0 MB
199 Setting Up With Google.html -
1.4 KB
200 Setting Up Google Colab.en.srt -
9.6 KB
200 Setting Up Google Colab.mp4 -
74.2 MB
201 Google Colab Workspace.en.srt -
6.3 KB
201 Google Colab Workspace.mp4 -
39.6 MB
202 Uploading Project Data.en.srt -
8.6 KB
202 Uploading Project Data.mp4 -
52.0 MB
203 Setting Up Our Data.en.srt -
6.4 KB
203 Setting Up Our Data.mp4 -
42.3 MB
204 Setting Up Our Data 2.en.srt -
2.2 KB
204 Setting Up Our Data 2.mp4 -
20.9 MB
205 Importing TensorFlow 2.en.srt -
16.8 KB
205 Importing TensorFlow 2.mp4 -
116.8 MB
206 Optional TensorFlow 2.0 Default Issue.en.srt -
4.5 KB
206 Optional TensorFlow 2.0 Default Issue.mp4 -
28.1 MB
207 Using A GPU.en.srt -
12.1 KB
207 Using A GPU.mp4 -
80.6 MB
208 Optional GPU and Google Colab.en.srt -
6.0 KB
208 Optional GPU and Google Colab.mp4 -
45.9 MB
209 Optional Reloading Colab Notebook.en.srt -
7.8 KB
209 Optional Reloading Colab Notebook.mp4 -
88.7 MB
210 Loading Our Data Labels.en.srt -
16.1 KB
210 Loading Our Data Labels.mp4 -
114.8 MB
211 Preparing The Images.en.srt -
15.1 KB
211 Preparing The Images.mp4 -
133.9 MB
212 Turning Data Labels Into Numbers.en.srt -
13.8 KB
212 Turning Data Labels Into Numbers.mp4 -
107.5 MB
213 Creating Our Own Validation Set.en.srt -
11.3 KB
213 Creating Our Own Validation Set.mp4 -
66.4 MB
214 Preprocess Images.en.srt -
12.9 KB
214 Preprocess Images.mp4 -
90.1 MB
215 Preprocess Images 2.en.srt -
12.9 KB
215 Preprocess Images 2.mp4 -
105.1 MB
216 Turning Data Into Batches.en.srt -
11.6 KB
216 Turning Data Into Batches.mp4 -
87.8 MB
217 Turning Data Into Batches 2.en.srt -
20.2 KB
217 Turning Data Into Batches 2.mp4 -
149.4 MB
218 Visualizing Our Data.en.srt -
15.7 KB
218 Visualizing Our Data.mp4 -
122.0 MB
219 Preparing Our Inputs and Outputs.en.srt -
7.8 KB
219 Preparing Our Inputs and Outputs.mp4 -
50.1 MB
220 Optional How machines learn and whats going on behind the scenes.html -
3.6 KB
221 Building A Deep Learning Model.en.srt -
15.9 KB
221 Building A Deep Learning Model.mp4 -
121.9 MB
222 Building A Deep Learning Model 2.en.srt -
12.5 KB
222 Building A Deep Learning Model 2.mp4 -
105.9 MB
223 Building A Deep Learning Model 3.en.srt -
11.2 KB
223 Building A Deep Learning Model 3.mp4 -
105.9 MB
224 Building A Deep Learning Model 4.en.srt -
12.0 KB
224 Building A Deep Learning Model 4.mp4 -
86.3 MB
225 Summarizing Our Model.en.srt -
6.0 KB
225 Summarizing Our Model.mp4 -
45.4 MB
226 Evaluating Our Model.en.srt -
10.4 KB
226 Evaluating Our Model.mp4 -
79.3 MB
227 Preventing Overfitting.en.srt -
5.5 KB
227 Preventing Overfitting.mp4 -
36.5 MB
228 Training Your Deep Neural Network.en.srt -
23.1 KB
228 Training Your Deep Neural Network.mp4 -
166.6 MB
229 Evaluating Performance With TensorBoard.en.srt -
9.6 KB
229 Evaluating Performance With TensorBoard.mp4 -
74.2 MB
230 Make And Transform Predictions.en.srt -
19.2 KB
230 Make And Transform Predictions.mp4 -
155.0 MB
231 Transform Predictions To Text.en.srt -
17.6 KB
231 Transform Predictions To Text.mp4 -
129.9 MB
232 Visualizing Model Predictions.en.srt -
17.0 KB
232 Visualizing Model Predictions.mp4 -
119.3 MB
233 Visualizing And Evaluate Model Predictions 2.en.srt -
17.6 KB
233 Visualizing And Evaluate Model Predictions 2.mp4 -
143.8 MB
234 Visualizing And Evaluate Model Predictions 3.en.srt -
13.8 KB
234 Visualizing And Evaluate Model Predictions 3.mp4 -
113.2 MB
235 Saving And Loading A Trained Model.en.srt -
16.9 KB
235 Saving And Loading A Trained Model.mp4 -
127.0 MB
236 Training Model On Full Dataset.en.srt -
19.2 KB
236 Training Model On Full Dataset.mp4 -
139.8 MB
237 Making Predictions On Test Images.en.srt -
20.3 KB
237 Making Predictions On Test Images.mp4 -
140.8 MB
238 Submitting Model to Kaggle.en.srt -
16.6 KB
238 Submitting Model to Kaggle.mp4 -
121.3 MB
239 Making Predictions On Our Images.en.srt -
18.6 KB
239 Making Predictions On Our Images.mp4 -
119.2 MB
240 Finishing Dog Vision Where to next.html -
4.7 KB
external-assets-links.txt -
4.6 KB
241 Section Overview.en.srt -
3.3 KB
241 Section Overview.mp4 -
10.9 MB
242 Communicating Your Work.en.srt -
4.8 KB
242 Communicating Your Work.mp4 -
20.2 MB
243 Communicating With Managers.en.srt -
4.5 KB
243 Communicating With Managers.mp4 -
18.4 MB
244 Communicating With Co-Workers.en.srt -
5.5 KB
244 Communicating With Co-Workers.mp4 -
19.0 MB
245 Weekend Project Principle.en.srt -
9.0 KB
245 Weekend Project Principle.mp4 -
23.6 MB
246 Communicating With Outside World.en.srt -
4.5 KB
246 Communicating With Outside World.mp4 -
14.5 MB
247 Storytelling.en.srt -
4.1 KB
247 Storytelling.mp4 -
12.0 MB
248 Communicating and sharing your work Further reading.html -
4.0 KB
external-assets-links.txt -
384 bytes
249 Endorsements On LinkedIn.html -
2.9 KB
250 Quick Note Upcoming Video.html -
1.4 KB
251 What If I Dont Have Enough Experience.en.srt -
20.0 KB
251 What If I Dont Have Enough Experience.mp4 -
160.9 MB
252 Learning Guideline.html -
1.1 KB
253 Quick Note Upcoming Videos.html -
1.4 KB
254 JTS Learn to Learn.en.srt -
2.5 KB
254 JTS Learn to Learn.mp4 -
11.1 MB
255 JTS Start With Why.en.srt -
3.0 KB
255 JTS Start With Why.mp4 -
15.4 MB
256 Quick Note Upcoming Videos.html -
1.2 KB
257 CWD Git Github.en.srt -
21.2 KB
257 CWD Git Github.mp4 -
176.1 MB
258 CWD Git Github 2.en.srt -
18.2 KB
258 CWD Git Github 2.mp4 -
118.4 MB
259 Contributing To Open Source.en.srt -
17.1 KB
259 Contributing To Open Source.mp4 -
130.3 MB
260 Contributing To Open Source 2.en.srt -
10.2 KB
260 Contributing To Open Source 2.mp4 -
113.0 MB
261 Coding Challenges.html -
1.8 KB
262 Exercise Contribute To Open Source.html -
2.3 KB
263 What Is A Programming Language.en.srt -
7.0 KB
263 What Is A Programming Language.mp4 -
104.8 MB
264 Python Interpreter.en.srt -
8.3 KB
264 Python Interpreter.mp4 -
93.5 MB
265 How To Run Python Code.en.srt -
6.5 KB
265 How To Run Python Code.mp4 -
63.9 MB
266 Our First Python Program.en.srt -
9.0 KB
266 Our First Python Program.mp4 -
47.2 MB
267 Python 2 vs Python 3.en.srt -
8.2 KB
267 Python 2 vs Python 3.mp4 -
82.1 MB
268 Exercise How Does Python Work.en.srt -
2.9 KB
268 Exercise How Does Python Work.mp4 -
26.0 MB
269 Learning Python.en.srt -
2.6 KB
269 Learning Python.mp4 -
38.5 MB
270 Python Data Types.en.srt -
5.2 KB
270 Python Data Types.mp4 -
28.8 MB
271 How To Succeed.html -
1.1 KB
272 Numbers.en.srt -
11.1 KB
272 Numbers.mp4 -
72.7 MB
273 Math Functions.en.srt -
5.4 KB
273 Math Functions.mp4 -
41.8 MB
274 DEVELOPER FUNDAMENTALS I.en.srt -
5.2 KB
274 DEVELOPER FUNDAMENTALS I.mp4 -
59.7 MB
275 Operator Precedence.en.srt -
3.5 KB
275 Operator Precedence.mp4 -
14.4 MB
276 Exercise Operator Precedence.html -
1.5 KB
277 Optional bin() and complex.en.srt -
4.8 KB
277 Optional bin() and complex.mp4 -
21.9 MB
278 Variables.en.srt -
16.0 KB
278 Variables.mp4 -
93.6 MB
279 Expressions vs Statements.en.srt -
1.7 KB
279 Expressions vs Statements.mp4 -
11.0 MB
280 Augmented Assignment Operator.en.srt -
3.0 KB
280 Augmented Assignment Operator.mp4 -
15.3 MB
281 Strings.en.srt -
6.3 KB
281 Strings.mp4 -
31.0 MB
282 String Concatenation.en.srt -
1.4 KB
282 String Concatenation.mp4 -
7.3 MB
283 Type Conversion.en.srt -
3.1 KB
283 Type Conversion.mp4 -
19.0 MB
284 Escape Sequences.en.srt -
5.0 KB
284 Escape Sequences.mp4 -
23.2 MB
285 Formatted Strings.en.srt -
8.8 KB
285 Formatted Strings.mp4 -
49.3 MB
286 String Indexes.en.srt -
9.2 KB
286 String Indexes.mp4 -
49.2 MB
287 Immutability.en.srt -
3.5 KB
287 Immutability.mp4 -
20.8 MB
288 Built-In Functions Methods.en.srt -
10.3 KB
288 Built-In Functions Methods.mp4 -
69.4 MB
289 Booleans.en.srt -
3.9 KB
289 Booleans.mp4 -
16.5 MB
290 Exercise Type Conversion.en.srt -
8.6 KB
290 Exercise Type Conversion.mp4 -
50.3 MB
291 DEVELOPER FUNDAMENTALS II.en.srt -
5.3 KB
291 DEVELOPER FUNDAMENTALS II.mp4 -
29.2 MB
292 Exercise Password Checker.en.srt -
7.9 KB
292 Exercise Password Checker.mp4 -
51.1 MB
293 Lists.en.srt -
5.6 KB
293 Lists.mp4 -
22.0 MB
294 List Slicing.en.srt -
8.5 KB
294 List Slicing.mp4 -
49.9 MB
295 Matrix.en.srt -
4.1 KB
295 Matrix.mp4 -
19.1 MB
296 List Methods.en.srt -
10.8 KB
296 List Methods.mp4 -
61.8 MB
297 List Methods 2.en.srt -
4.5 KB
297 List Methods 2.mp4 -
27.4 MB
298 List Methods 3.en.srt -
5.0 KB
298 List Methods 3.mp4 -
27.7 MB
299 Common List Patterns.en.srt -
5.8 KB
299 Common List Patterns.mp4 -
40.5 MB
300 List Unpacking.en.srt -
2.9 KB
300 List Unpacking.mp4 -
13.9 MB
301 None.en.srt -
2.2 KB
301 None.mp4 -
7.9 MB
302 Dictionaries.en.srt -
7.1 KB
302 Dictionaries.mp4 -
32.7 MB
303 DEVELOPER FUNDAMENTALS III.en.srt -
3.6 KB
303 DEVELOPER FUNDAMENTALS III.mp4 -
26.6 MB
304 Dictionary Keys.en.srt -
4.2 KB
304 Dictionary Keys.mp4 -
20.4 MB
305 Dictionary Methods.en.srt -
5.3 KB
305 Dictionary Methods.mp4 -
27.2 MB
306 Dictionary Methods 2.en.srt -
7.1 KB
306 Dictionary Methods 2.mp4 -
42.4 MB
307 Tuples.en.srt -
5.7 KB
307 Tuples.mp4 -
25.6 MB
308 Tuples 2.en.srt -
3.1 KB
308 Tuples 2.mp4 -
17.0 MB
309 Sets.en.srt -
8.4 KB
309 Sets.mp4 -
37.0 MB
310 Sets 2.en.srt -
9.2 KB
310 Sets 2.mp4 -
64.3 MB
external-assets-links.txt -
1.6 KB
311 Breaking The Flow.en.srt -
3.0 KB
311 Breaking The Flow.mp4 -
20.3 MB
312 Conditional Logic.en.srt -
15.7 KB
312 Conditional Logic.mp4 -
74.6 MB
313 Indentation In Python.en.srt -
5.3 KB
313 Indentation In Python.mp4 -
28.0 MB
314 Truthy vs Falsey.en.srt -
6.0 KB
314 Truthy vs Falsey.mp4 -
42.8 MB
315 Ternary Operator.en.srt -
4.8 KB
315 Ternary Operator.mp4 -
19.7 MB
316 Short Circuiting.en.srt -
4.5 KB
316 Short Circuiting.mp4 -
19.4 MB
317 Logical Operators.en.srt -
8.1 KB
317 Logical Operators.mp4 -
28.3 MB
318 Exercise Logical Operators.en.srt -
8.4 KB
318 Exercise Logical Operators.mp4 -
46.6 MB
319 is vs.en.srt -
8.1 KB
319 is vs.mp4 -
33.6 MB
320 For Loops.en.srt -
7.5 KB
320 For Loops.mp4 -
34.3 MB
321 Iterables.en.srt -
6.9 KB
321 Iterables.mp4 -
43.2 MB
322 Exercise Tricky Counter.en.srt -
3.6 KB
322 Exercise Tricky Counter.mp4 -
16.4 MB
323 range().en.srt -
5.9 KB
323 range().mp4 -
28.3 MB
324 enumerate().en.srt -
4.6 KB
324 enumerate().mp4 -
24.8 MB
325 While Loops.en.srt -
7.4 KB
325 While Loops.mp4 -
28.3 MB
326 While Loops 2.en.srt -
6.4 KB
326 While Loops 2.mp4 -
25.9 MB
327 break continue pass.en.srt -
5.3 KB
327 break continue pass.mp4 -
22.2 MB
328 Our First GUI.en.srt -
10.4 KB
328 Our First GUI.mp4 -
49.6 MB
329 DEVELOPER FUNDAMENTALS IV.en.srt -
7.8 KB
329 DEVELOPER FUNDAMENTALS IV.mp4 -
50.2 MB
330 Exercise Find Duplicates.en.srt -
4.4 KB
330 Exercise Find Duplicates.mp4 -
20.2 MB
331 Functions.en.srt -
9.2 KB
331 Functions.mp4 -
48.6 MB
332 Parameters and Arguments.en.srt -
4.9 KB
332 Parameters and Arguments.mp4 -
23.1 MB
333 Default Parameters and Keyword Arguments.en.srt -
6.0 KB
333 Default Parameters and Keyword Arguments.mp4 -
38.1 MB
334 return.en.srt -
15.0 KB
334 return.mp4 -
63.0 MB
335 Exercise Tesla.html -
1.2 KB
336 Methods vs Functions.en.srt -
5.2 KB
336 Methods vs Functions.mp4 -
30.7 MB
337 Docstrings.en.srt -
4.3 KB
337 Docstrings.mp4 -
17.3 MB
338 Clean Code.en.srt -
5.4 KB
338 Clean Code.mp4 -
19.7 MB
339 args and kwargs.en.srt -
8.1 KB
339 args and kwargs.mp4 -
43.0 MB
340 Exercise Functions.en.srt -
4.7 KB
340 Exercise Functions.mp4 -
21.8 MB
341 Scope.en.srt -
3.8 KB
341 Scope.mp4 -
20.1 MB
342 Scope Rules.en.srt -
8.5 KB
342 Scope Rules.mp4 -
37.7 MB
343 global Keyword.en.srt -
6.7 KB
343 global Keyword.mp4 -
36.5 MB
344 nonlocal Keyword.en.srt -
4.1 KB
344 nonlocal Keyword.mp4 -
18.3 MB
345 Why Do We Need Scope.en.srt -
4.8 KB
345 Why Do We Need Scope.mp4 -
19.2 MB
346 Pure Functions.en.srt -
10.1 KB
346 Pure Functions.mp4 -
67.4 MB
347 map().en.srt -
6.3 KB
347 map().mp4 -
38.4 MB
348 filter().en.srt -
5.0 KB
348 filter().mp4 -
23.6 MB
349 zip().en.srt -
3.3 KB
349 zip().mp4 -
21.3 MB
350 reduce().en.srt -
8.4 KB
350 reduce().mp4 -
52.3 MB
351 List Comprehensions.en.srt -
9.4 KB
351 List Comprehensions.mp4 -
53.3 MB
352 Set Comprehensions.en.srt -
6.6 KB
352 Set Comprehensions.mp4 -
35.4 MB
353 Exercise Comprehensions.en.srt -
4.9 KB
353 Exercise Comprehensions.mp4 -
22.0 MB
354 Python Exam Testing Your Understanding.html -
2.0 KB
355 Modules in Python.en.srt -
12.7 KB
355 Modules in Python.mp4 -
82.2 MB
356 Quick Note Upcoming Videos.html -
1.3 KB
357 Optional PyCharm.en.srt -
10.5 KB
357 Optional PyCharm.mp4 -
53.1 MB
358 Packages in Python.en.srt -
12.5 KB
358 Packages in Python.mp4 -
72.4 MB
359 Different Ways To Import.en.srt -
7.5 KB
359 Different Ways To Import.mp4 -
48.0 MB
360 Next Steps.html -
1.8 KB
external-assets-links.txt -
615 bytes
361 Statistics and Mathematics.html -
1.5 KB
362 Become An Alumni.html -
2.6 KB
363 Thank You.en.srt -
3.6 KB
363 Thank You.mp4 -
11.1 MB
364 Bonus Special Thank You Gift.html -
2.4 KB
[CourseClub.Me].url -
48 bytes
[DesireCourse.Net].url -
51 bytes
[FreeCourseWorld.Com].url -
54 bytes
Related torrents
| Torrent Name | Added | Size | Seed | Leech | Health |
|---|---|---|---|---|---|
| 2025-03-07 | 2.4 GB | 29 | 1 | ||
| 2025-03-06 | 2.1 GB | 0 | 0 | ||
| 2025-02-21 | 713.3 MB | 0 | 3 | ||
| 2025-01-13 | 1.8 GB | 72 | 10 | ||
| 2024-12-26 | 1.1 GB | 46 | 0 | ||
| 2024-11-06 | 3.3 GB | 115 | 1 | ||
| 2024-08-18 | 7.8 GB | 25 | 2 | ||
| 2024-08-13 | 3.5 GB | 12 | 2 | ||
| 2024-04-30 | 10.5 GB | 12 | 3 | ||
| 2024-04-08 | 8.8 GB | 14 | 0 |
Note :
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information. Watch Udemy Complete Machine Learning and Data Science Zero to Mastery Desire Course Full Movie Online Free, Like 123Movies, FMovies, Putlocker, Netflix or Direct Download Torrent Udemy Complete Machine Learning and Data Science Zero to Mastery Desire Course via Magnet Download Link.Comments (0 Comments)
Please login or create a FREE account to post comments
Advertisement
