50 Days 50 Projects Data Science Machine Learning Bootcamp
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50 Days 50 Projects Data Science Machine Learning Bootcamp
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50 Days 50 Projects Data Science Machine Learning Bootcamp
8. Deploying model on AWS EC2 instance.mp4 -
TutsNode.com.txt -
7.1 Heart Attack Preidction- Auto Ml -Code Files.zip -
5.1 Face Detection App- Code.zip -
6.1 Collab Code.zip -
1. Introduction.srt -
0 -
2. Creating Project Notebook.mp4 -
7.1 Pizza price prediction- Project Code and Files.zip -
5.1 Happiness Ranking - Code.zip -
8.1 Collab Code.zip -
8. Download The Project Files.html -
8. Download The Project Files.html -
6. Download The Project Files.html -
1 -
2. Creating Project Notebook.mp4 -
8.1 IPL cricket score-Project Code and Files.zip -
2. Importing libraries and data.srt -
6. Download The Project Files.html -
7. Download The Project Files.html -
6. Download the project files.html -
5. Download the project files.html -
5. Download the project files.html -
6. Download The Project Files.html -
5. Download The Project Files.html -
6. Download The Project Files.html -
8. Download The Project Files.html -
16. Download The Project Files.html -
2 -
4. Data Analysis2.mp4 -
5.1 Restaurant Rec - Code.zip -
15.1 Whatsapp text analyzer -Code Files.zip -
3. Understanding the data.srt -
[TGx]Downloaded from torrentgalaxy.to .txt -
15. Download The Project Files.html -
7. Download The Project Files.html -
9. Download The Project Files.html -
12. Download The Project Files.html -
13. Download The Project Files.html -
8. Download The Project Files.html -
10. Download The Project Files.html -
5. Download The Project Files.html -
5. Download The Project Files.html -
5. Download The Project Files.html -
5. Download The Project Files.html -
3 -
2. Project Notebook.mp4 -
5.1 Pokemon APP Code.zip -
7.1 Petrol Price Forecasting- Auto Kearas- Code Files.zip -
3. Transforming Images and creating output.srt -
6. Download The Project Files.html -
5. Download The Project Files.html -
5. Download The Project Files.html -
5. Download The Project Files.html -
5. Download The Project Files.html -
6. Download The Project Files.html -
8. Download The Project Files.html -
8. Download The Project Files.html -
6. Download The Project Files.html -
7. Download The Project Files.html -
6. Download The Project Files.html -
6. Download The Project Files.html -
6. Download The Project Files.html -
4 -
2. Creating Colab Notebook.mp4 -
5.1 2-Attrition Rate Django code.zip -
8.1 Advertisement Prediction -IBM watson-Code Files.zip -
7.1 Collab Code.zip -
1. Introduction.srt -
6. Download The Project Files.html -
7. Download The Project Files.html -
6. Download The Project Files.html -
7. Download The Project Files.html -
6. Download The Project Files.html -
9. Download The Project Files.html -
7. Download The Project Files.html -
7. Download The Project Files.html -
9. Download The Project Files.html -
10. Download The Project Files.html -
7. Download The Project Files.html -
8. Download The Project Files.html -
9. Download The Project Files.html -
5 -
2. Project Notebook.mp4 -
13.1 Campus placement predictor -Code Files.zip -
5.1 1-Sentiment Analysis Code.zip -
4. Creating A Flask App.srt -
4. Creating A Flask App.srt -
6 -
2. Colab Notebook.mp4 -
6.1 Collab Code.zip -
3. Data preprocessing and creating output.srt -
5.1 Collab code.zip -
5. Creating an app using streamlit.srt -
8.1 Car acceptability prediction -Code Files.zip -
4. Model building.srt -
7 -
6.1 Forest Fires App -Code.zip -
7.1 Bank Customer Churn-Auto Keras -Project code and Files.zip -
6.1 Language Translator -Project Files.zip -
8 -
6.1 Cats Vs Dogs App Code.zip -
7.1 Course recommendation system -Code Files.zip -
2. Importing libraries and data.srt -
2. Importing libraries and data.srt -
1. Introduction.srt -
9 -
2. Creating Colab Notebook.mp4 -
5.2 Detect and Count Vehicle Flask App.zip -
10 -
11. Model Building Part-3.mp4 -
9.1 Flight fare- auto sk learn- Project Code and Files.zip -
8.2 Pan Card Tampering Flask App.zip -
11 -
3. Integrating with Flask Server.mp4 -
8.1 Collab Code.zip -
12 -
7. Deployment on GCP (Google Cloud Platform).mp4 -
12.1 Body fat estimator -Code Files.zip -
13 -
9. Model Building Part-1.mp4 -
8.2 Dog Breed Prediction Streamlit App.zip -
14 -
7. Text Processing Part 4.mp4 -
9.1 Bike rental -Project Code and Files.zip -
7.2 Text Extraction Flask App.zip -
15 -
3. Outliers and Model.mp4 -
9.1 IPL match predictor- Code Files.zip -
16 -
7. Hyper Parameter Tuning, Model Testing.mp4 -
17 -
7. EDA Part-6.mp4 -
5.1 Customer Revenue Prediction Code.zip -
18 -
10. Coding the UI Part 3.mp4 -
19 -
4. Coding the UI.mp4 -
20 -
11. Deployment Part 1.mp4 -
21 -
10. Model Deployment on Azure Part 1.mp4 -
22 -
2. Project Notebook -Google Colab.mp4 -
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5. Text Processing Part2.mp4 -
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3. Creating Django App.mp4 -
25 -
5. Integrating Jinja Framework.mp4 -
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5. Feature Selection.mp4 -
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7. Deployment on Heroku Cloud.mp4 -
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4. EDA Part 3.mp4 -
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3. Building the model.mp4 -
30 -
9. Coding the UI Part 2.mp4 -
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2. Importing libraries and Understanding Data.mp4 -
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11. Text Analytics Part 4.mp4 -
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6. Integrating Model with Flask.mp4 -
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14. Integrating with UI.mp4 -
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4. Coding the UI.mp4 -
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8. Deployment on Heroku Cloud.mp4 -
37 -
3. Data preprocessing and creating output.mp4 -
38 -
2. Text Processing Part1.mp4 -
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6. Model Building.mp4 -
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8. Text Analytics Part 1.mp4 -
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6. Integrating Watson Service with UI.mp4 -
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2. EDA Part 1.mp4 -
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6. EDA Part-5.mp4 -
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3. EDA Part 1.mp4 -
45 -
2. Data Preprocessing.mp4 -
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2. Coding Recommendation System.mp4 -
47 -
4. Text Processing Part 1.mp4 -
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3. Creating Flask App.mp4 -
49 -
4. Creating Django App.mp4 -
50 -
2. Creating Colab Notebook.mp4 -
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2. handling the data.mp4 -
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9. Coding the UI Part 2.mp4 -
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8. EDA Part-7.mp4 -
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2. Understanding the data.mp4 -
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10. Text Analytics Part 3.mp4 -
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2. Understanding the data.mp4 -
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6. Django Application building.mp4 -
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4. Model building part3.mp4 -
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3. Text Processing Part2.mp4 -
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3. Feature Selection and model building.mp4 -
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8. Coding the UI Part 1.mp4 -
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12. Text Analytics Part 5.mp4 -
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3. Cleaning the data.mp4 -
64 -
5. Integrating Python Code with JavaScript.mp4 -
65 -
2. Importing libraries and dataset.mp4 -
66 -
3. Creating DJango App.mp4 -
67 -
2. Importing Libraries and understanding data.mp4 -
68 -
4. Django Application.mp4 -
69 -
3. Creating the pancard detector with opencv.mp4 -
70 -
4. Feature Selection Part 1.mp4 -
71 -
3. Creating Project App Django.mp4 -
72 -
9. Text Analytics Part 2.mp4 -
73 -
4. Building Django Application.mp4 -
74 -
5. EDA Part-4.mp4 -
75 -
5. Deployment on Heroku.mp4 -
76 -
4. Implementing Django web application.mp4 -
77 -
10. Model Building Part-2.mp4 -
78 -
14. Deployment on Heroku Cloud.mp4 -
79 -
2. Creating The Face App.mp4 -
80 -
3. Feature Building and Selection.mp4 -
81 -
4. Building Django Application.mp4 -
82 -
2. Course Outline Video.mp4 -
83 -
3. Building and training the model.mp4 -
84 -
3. Model building part2.mp4 -
85 -
7. Coding the UI.mp4 -
86 -
3. Transforming Images and creating output.mp4 -
87 -
4. EDA Part-3.mp4 -
88 -
3. Building the model.mp4 -
89 -
3. EDA Part-2.mp4 -
90 -
4. Django Application.mp4 -
91 -
6. Model Building and Prediction using EVAL ML(Auto ML).mp4 -
92 -
2. Data Preprocessing.mp4 -
93 -
5. Model Building and Prediction using PyCaret (AutoML).mp4 -
94 -
3. Integrating Service.mp4 -
95 -
12. Model Building Part-4.mp4 -
96 -
2. Model building.mp4 -
97 -
5. Django Application.mp4 -
98 -
2. EDA Part 1.mp4 -
99 -
4. Model Building.mp4 -
100 -
4. Creating ML Model.mp4 -
101 -
4. Creating The face app opencv.mp4 -
102 -
3. EDA Part 2.mp4 -
103 -
4. Exploratory Data Analysis.mp4 -
104 -
6. Model Building and Prediction using H2O Auto ML(Auto ML).mp4 -
105 -
4. Django Application.mp4 -
106 -
2. Cleaning the data.mp4 -
107 -
3. Model Building.mp4 -
108 -
3. Creating a Model.mp4 -
109 -
13. Text Analytics Part 6.mp4 -
110 -
6. Integrating JavaScript with Flask.mp4 -
111 -
5. EDA Part 4.mp4 -
112 -
3. Exploratory Data Analysis.mp4 -
113 -
3. Creating Django App.mp4 -
114 -
5. Implementing Django Application.mp4 -
115 -
4. Creating A Flask App.mp4 -
116 -
4. Building the model.mp4 -
117 -
4. Deploying App in heroku.mp4 -
118 -
3. EDA Part 2.mp4 -
119 -
4. Creating A Flask App.mp4 -
120 -
4. Setting up Watson Studio Part-2.mp4 -
121 -
4. Model building.mp4 -
122 -
5. Creating Django Application part1.mp4 -
123 -
3. Project Notebook Part2.mp4 -
124 -
3. Create text and image watermark.mp4 -
125 -
2. Understanding the data.mp4 -
126 -
3. Preprocessing the data.mp4 -
127 -
3. Building Model.mp4 -
128 -
15. Deployment on Heroku.mp4 -
129 -
7. Touch points on AWS.mp4 -
130 -
8. Model Building and Prediction using H2O Auto ML Library.mp4 -
131 -
4. Build and Train Model.mp4 -
132 -
5. Creating A Flask App.mp4 -
133 -
3. Building Django App.mp4 -
134 -
3. Setting up Watson Studio Part-1.mp4 -
135 -
6. Model Building.mp4 -
136 -
5. Feature Engineering.mp4 -
137 -
5.2 Face Swap Flask App.zip -
138 -
4. Modifying the extractor.mp4 -
139 -
5. Model Building using ML- 1.mp4 -
140 -
7. Model Evaluation.mp4 -
141 -
7. Model Building and Prediction using PyCaret (AutoML).mp4 -
142 -
6. Deployment on Heroku Cloud.mp4 -
143 -
3. Data Analysis and Cleaning -1.mp4 -
144 -
4. EDA Part 2.mp4 -
145 -
3. Data Analysis.mp4 -
146 -
3. Data Analysis.mp4 -
147 -
6. Creating Django Application part2.mp4 -
148 -
4. Deploying Flask App.mp4 -
149 -
6.1 Credit Card Fraud Using Pycaret -Code and Files.zip -
150 -
5. Building Flask App Deployment.mp4 -
151 -
2. Importing and processing data.mp4 -
152 -
3. Project Structure.mp4 -
153 -
3. Creating The face app opencv.mp4 -
154 -
3. Data Analysis.mp4 -
155 -
4. Creating the app.mp4 -
156 -
8. Deployment of Model using Flask API.mp4 -
157 -
2. Model building part1.mp4 -
158 -
4. Deploying App in heroku.mp4 -
159 -
4. creating and testing the model.mp4 -
160 -
6. Model building and Predictions using Auto ML(Eval ML).mp4 -
161 -
4. Deploying The App.mp4 -
162 -
4. Deploying App in heroku.mp4 -
163 -
5. Model Testing.mp4 -
164 -
4. Creating a Flask App.mp4 -
165 -
4. Deploying Django App.mp4 -
166 -
5. Deploying on Heroku.mp4 -
167 -
5. Model Building using ML Algorithms.mp4 -
168 -
5. Delpoying on Heroku.mp4 -
169 -
4. Model Building using ML.mp4 -
170 -
6. Text Processing Part 3.mp4 -
171 -
8. Coding the UI Part 1.mp4 -
172 -
5. Deploying Django App.mp4 -
173 -
2. Importing Libraries And Data.mp4 -
174 -
2. importing the data and libraries.mp4 -
175 -
6. Model Building.mp4 -
176 -
5. Feature Selection Part 2.mp4 -
177 -
2. Importing the data and libraries.mp4 -
178 -
4. Data Preprocessing.mp4 -
179 -
3. Data Analysis.mp4 -
180 -
5. Deploying On Heroku.mp4 -
181 -
1. Introduction.mp4 -
182 -
5. Deploying to Heroku.mp4 -
183 -
4. Feature Engineering.mp4 -
184 -
7. Deploying on Heroku.mp4 -
185 -
1. Introduction.mp4 -
186 -
6. Model Building using ML Algorithms.mp4 -
187 -
6. Deploying on heroku.mp4 -
188 -
3. Data Analysis and Cleaning.mp4 -
189 -
4. Building Flask App.mp4 -
190 -
5. Deploying on heroku.mp4 -
191 -
5. Creating an app using streamlit.mp4 -
192 -
4. building the model.mp4 -
193 -
8. Using FLASK API.mp4 -
194 -
5. Feature Engineering 2.mp4 -
195 -
2. EDA Part-1.mp4 -
196 -
4. Data Analysis and Handling Missing Values- 2.mp4 -
197 -
3. Understanding the data.mp4 -
198 -
6. Deploying to Heroku.mp4 -
199 -
5. Creating model for test set.mp4 -
200 -
4. Feature Engineering.mp4 -
201 -
4. Model Building Part.mp4 -
202 -
3. Building the model.mp4 -
203 -
5. Heroku Deployment.mp4 -
204 -
2. Importing Libraries and DataSet.mp4 -
205 -
2. Importing Libraries and DataSet.mp4 -
206 -
3. Image processing.mp4 -
207 -
6. Model Building using ML- 2.mp4 -
208 -
6. Model Building using TPOT Auto ML Library-1.mp4 -
209 -
1. Introduction.mp4 -
210 -
4. Feature Engineering 1.mp4 -
211 -
5. Model Building using ML models.mp4 -
212 -
7. Model Building and Predictions using TPOT Library (Auto ML).mp4 -
213 -
1. Introduction to the Project.mp4 -
214 -
3. Data Analysis.mp4 -
215 -
5. Django Application Introduction.mp4 -
216 -
5.1 Collab Code.zip -
217 -
5. Deploying the Model on Deployment Center..mp4 -
218 -
8. Model Building and Prediction using Auto SK Learn.mp4 -
219 -
2. Importing Libraries and DataSet.mp4 -
220 -
3. Extracting the test from image.mp4 -
221 -
7. Deploying on Heroku.mp4 -
222 -
2. Introduction.mp4 -
223 -
1. Introduction.mp4 -
224 -
3. Data Analysis and splitting of Data.mp4 -
225 -
11. Model Deployment on Azure Part 2.mp4 -
226 -
6. Deploy the app in Heroku.mp4 -
227 -
5. creating the extractor app.mp4 -
228 -
7. Model Building using ML.mp4 -
229 -
4. Model Building.mp4 -
230 -
3. Data Analysis and Handling Missing Values- 1.mp4 -
231 -
1. Introduction.mp4 -
232 -
6. Model Building and prediction using ARIMA and Auto Keras (Auto ML).mp4 -
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4. Data Preprocessing.mp4 -
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1. Introduction To The Course.mp4 -
235 -
2. Importing libraries and data.mp4 -
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1. Introduction to the Project.mp4 -
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1. Introduction.mp4 -
238 -
2. Importing Libraries and DataSet.mp4 -
239 -
1. Introduction.mp4 -
240 -
1. Introduction to the Project.mp4 -
241 -
5. Model Building and Prediction using ANN.mp4 -
242 -
7.1 Clothes- Code.zip -
243 -
9. Fixing the Errors.mp4 -
244 -
2. Importing libraries and DataSet.mp4 -
245 -
2. Importing libraries and data.mp4 -
246 -
4. Data Analysis and Cleaning -2.mp4 -
247 -
5. Model Building Part 2.mp4 -
248 -
9. Deploying model using Heroku.mp4 -
249 -
1. Introduction to the Project.mp4 -
250 -
5. Model Building and Prediction using LSTM model.mp4 -
251 -
2. Importing libraries and data.mp4 -
252 -
3. Data Analysis.mp4 -
253 -
2. Loading libraries and dataset.mp4 -
254 -
5. Data Preprocessing.mp4 -
255 -
2. Importing Libraries and Data sets.mp4 -
256 -
3. Data processing Bird Species Prediction.mp4 -
257 -
1. Introduction to traffic sign classification.mp4 -
258 -
4. Feature Engineering.mp4 -
259 -
1. Introduction.mp4 -
260 -
1. Introduction to the Project.mp4 -
261 -
6.1 Similarity in texts -Code.zip -
262 -
5. Deploying the app in heroku.mp4 -
263 -
3. Data Preprocessing.mp4 -
264 -
1. Introduction to the Project.mp4 -
265 -
7. Model Building and Prediction using ML.mp4 -
266 -
6. Splitting the Data.mp4 -
267 -
5. Creating Important functions.mp4 -
268 -
6. Creating the Flask App.mp4 -
269 -
2. Importing Libraries and DataSet.mp4 -
270 -
1. Introduction.mp4 -
271 -
7. Model Building using TPOT Auto ML Library-2.mp4 -
272 -
1. Introduction to the project.mp4 -
273 -
1. Introduction.mp4 -
274 -
2. Fetching Data from Whatsapp.mp4 -
275 -
1. Introduction.mp4 -
276 -
1. Introduction.mp4 -
277 -
2. Importing libraries and logo.mp4 -
278 -
2. Importing Libraries and DataSet.mp4 -
279 -
6. Feature Selection.mp4 -
280 -
12. Deployment Part 2.mp4 -
281 -
1. Overview.mp4 -
282 -
1. Introduction to the Project.mp4 -
283 -
1. Introduction.mp4 -
284 -
2. Importing libraries and data.mp4 -
285 -
1. Introduction to the Project.mp4 -
286 -
2. Setting Service.mp4 -
287 -
1. Introduction to the Project.mp4 -
288 -
1. Introduction to Bird Species Prediction.mp4 -
289 -
8.1 Car selling price prediction -Code.zip -
290 -
1. Introduction.mp4 -
291 -
1. Introduction.mp4 -
292 -
2. Importing Libraries and Data Set.mp4 -
293 -
1. Introduction.mp4 -
294 -
13. Model Building Part-5.mp4 -
295 -
5. Testing the model.mp4 -
296 -
1. Introduction to text extraction.mp4 -
297 -
6.1 Artist Sculpture- Code.zip -
298 -
7. Running the app.mp4 -
299 -
1. Introduction.mp4 -
300 -
1. Introduction To Pan Card Tempering Detector.mp4 -
301 -
1. Introduction to dog breed prediction.mp4 -
302 -
1. Introduction.mp4 -
303 -
2. Importing Libraries and Datasets.mp4 -
304 -
6.2 Collab Code.zip -
305 -
1. Introduction.mp4 -
306 -
1. Introduction.mp4 -
307 -
1. Introduction.mp4 -
308 -
4. Creating the Flask App.mp4 -
309 -
1. Introduction.mp4 -
310 -
6. Running the extractor app.mp4 -
311 -
6.1 Collab Code.zip -
312 -
1. Introduction.mp4 -
313 -
1. Project Overview.mp4 -
314 -
1. Introduction To Customer Revenue Prediction.mp4 -
315 -
1. Introduction To Cats Vs Dogs Classification.mp4 -
316 -
6.1 Medical- Code.zip -
317 -
1. Introduction.mp4 -
318 -
1. Introduction.mp4 -
319 -
1. Introduction.mp4 -
320 -
1. Introduction.mp4 -
321 -
10.1 Rain prediction Project code and files.zip -
322 -
1. Introduction.mp4 -
323 -
1. Introduction.mp4 -
324 -
1. Introduction.mp4 -
325 -
1. Introduction to Sentiment Analysis.mp4 -
326 -
8.1 Affair prediction- Code.zip -
327 -
6.1 Phishing -Code.zip -
328 -
7. Testing the deployed pan card detector.mp4 -
329 -
5.1 Collab Code.zip -
330 -
6.1 Bank Cards -Code.zip -
331 -
9.1 Air Quality Project Code and files.zip -
332 -
7.1 Google App rating preiction Code.zip -
333 -
6.1 Mushroom Classification App Code.zip -
334 -
10.1 Book genre classification -Code Files.zip -
335 -
6.1 Bird Species Flask App.zip -
336 -
5.2 Intel Image Flask App.zip -
337 -
6.2 Image Watermarking Flask App.zip -
338 -
16.1 laptop price predictor -Code Files.zip -
339 -
5.1 Voice Gender Prediction code.zip -
340 -
6.2 Plant Disease Flask App.zip -
341 -
3. Udemy Feedback.mp4 -
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8. Deploying model on AWS EC2 instance.mp4 -
301.1 MB
TutsNode.com.txt -
63 bytes
7.1 Heart Attack Preidction- Auto Ml -Code Files.zip -
743.1 KB
5.1 Face Detection App- Code.zip -
142.3 KB
6.1 Collab Code.zip -
55.8 KB
1. Introduction.srt -
2.6 KB
0 -
2 bytes
2. Creating Project Notebook.mp4 -
244.3 MB
7.1 Pizza price prediction- Project Code and Files.zip -
1.6 MB
5.1 Happiness Ranking - Code.zip -
107.4 KB
8.1 Collab Code.zip -
13.5 KB
8. Download The Project Files.html -
33 bytes
8. Download The Project Files.html -
33 bytes
6. Download The Project Files.html -
33 bytes
1 -
30 bytes
2. Creating Project Notebook.mp4 -
243.0 MB
8.1 IPL cricket score-Project Code and Files.zip -
1.0 MB
2. Importing libraries and data.srt -
5.0 KB
6. Download The Project Files.html -
33 bytes
7. Download The Project Files.html -
33 bytes
6. Download the project files.html -
33 bytes
5. Download the project files.html -
33 bytes
5. Download the project files.html -
33 bytes
6. Download The Project Files.html -
33 bytes
5. Download The Project Files.html -
33 bytes
6. Download The Project Files.html -
33 bytes
8. Download The Project Files.html -
33 bytes
16. Download The Project Files.html -
33 bytes
2 -
5 bytes
4. Data Analysis2.mp4 -
242.9 MB
5.1 Restaurant Rec - Code.zip -
1.1 MB
15.1 Whatsapp text analyzer -Code Files.zip -
55.1 KB
3. Understanding the data.srt -
5.4 KB
[TGx]Downloaded from torrentgalaxy.to .txt -
585 bytes
15. Download The Project Files.html -
33 bytes
7. Download The Project Files.html -
33 bytes
9. Download The Project Files.html -
33 bytes
12. Download The Project Files.html -
33 bytes
13. Download The Project Files.html -
33 bytes
8. Download The Project Files.html -
33 bytes
10. Download The Project Files.html -
33 bytes
5. Download The Project Files.html -
33 bytes
5. Download The Project Files.html -
33 bytes
5. Download The Project Files.html -
33 bytes
5. Download The Project Files.html -
33 bytes
3 -
2 bytes
2. Project Notebook.mp4 -
240.5 MB
5.1 Pokemon APP Code.zip -
1.4 MB
7.1 Petrol Price Forecasting- Auto Kearas- Code Files.zip -
21.5 KB
3. Transforming Images and creating output.srt -
12.6 KB
6. Download The Project Files.html -
33 bytes
5. Download The Project Files.html -
33 bytes
5. Download The Project Files.html -
33 bytes
5. Download The Project Files.html -
33 bytes
5. Download The Project Files.html -
33 bytes
6. Download The Project Files.html -
33 bytes
8. Download The Project Files.html -
33 bytes
8. Download The Project Files.html -
33 bytes
6. Download The Project Files.html -
33 bytes
7. Download The Project Files.html -
33 bytes
6. Download The Project Files.html -
33 bytes
6. Download The Project Files.html -
33 bytes
6. Download The Project Files.html -
33 bytes
4 -
22 bytes
2. Creating Colab Notebook.mp4 -
213.8 MB
5.1 2-Attrition Rate Django code.zip -
121.4 KB
8.1 Advertisement Prediction -IBM watson-Code Files.zip -
48.6 KB
7.1 Collab Code.zip -
41.3 KB
1. Introduction.srt -
4.0 KB
6. Download The Project Files.html -
33 bytes
7. Download The Project Files.html -
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9. Download The Project Files.html -
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360 bytes
2. Project Notebook.mp4 -
207.2 MB
13.1 Campus placement predictor -Code Files.zip -
703.1 KB
5.1 1-Sentiment Analysis Code.zip -
96.7 KB
4. Creating A Flask App.srt -
18.5 KB
4. Creating A Flask App.srt -
17.2 KB
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1.4 KB
2. Colab Notebook.mp4 -
201.7 MB
6.1 Collab Code.zip -
266.3 KB
3. Data preprocessing and creating output.srt -
15.8 KB
5.1 Collab code.zip -
13.4 KB
5. Creating an app using streamlit.srt -
13.1 KB
8.1 Car acceptability prediction -Code Files.zip -
10.9 KB
4. Model building.srt -
8.9 KB
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1.3 KB
6.1 Forest Fires App -Code.zip -
187.5 MB
7.1 Bank Customer Churn-Auto Keras -Project code and Files.zip -
554.8 KB
6.1 Language Translator -Project Files.zip -
6.6 KB
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1.5 KB
6.1 Cats Vs Dogs App Code.zip -
180.6 MB
7.1 Course recommendation system -Code Files.zip -
1.4 MB
2. Importing libraries and data.srt -
3.9 KB
2. Importing libraries and data.srt -
3.7 KB
1. Introduction.srt -
3.2 KB
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46.2 KB
2. Creating Colab Notebook.mp4 -
177.2 MB
5.2 Detect and Count Vehicle Flask App.zip -
623.5 KB
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207.6 KB
11. Model Building Part-3.mp4 -
170.9 MB
9.1 Flight fare- auto sk learn- Project Code and Files.zip -
589.0 KB
8.2 Pan Card Tampering Flask App.zip -
421.7 KB
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143.5 KB
3. Integrating with Flask Server.mp4 -
165.6 MB
8.1 Collab Code.zip -
339.3 KB
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19.6 KB
7. Deployment on GCP (Google Cloud Platform).mp4 -
165.4 MB
12.1 Body fat estimator -Code Files.zip -
403.9 KB
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244.3 KB
9. Model Building Part-1.mp4 -
156.0 MB
8.2 Dog Breed Prediction Streamlit App.zip -
1.8 MB
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248.1 KB
7. Text Processing Part 4.mp4 -
155.3 MB
9.1 Bike rental -Project Code and Files.zip -
387.8 KB
7.2 Text Extraction Flask App.zip -
251.8 KB
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104.9 KB
3. Outliers and Model.mp4 -
154.6 MB
9.1 IPL match predictor- Code Files.zip -
1.3 MB
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90.0 KB
7. Hyper Parameter Tuning, Model Testing.mp4 -
152.9 MB
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1.1 MB
7. EDA Part-6.mp4 -
152.6 MB
5.1 Customer Revenue Prediction Code.zip -
1.2 MB
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203.9 KB
10. Coding the UI Part 3.mp4 -
147.8 MB
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235.7 KB
4. Coding the UI.mp4 -
146.0 MB
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2.0 KB
11. Deployment Part 1.mp4 -
145.3 MB
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685.2 KB
10. Model Deployment on Azure Part 1.mp4 -
141.5 MB
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542.4 KB
2. Project Notebook -Google Colab.mp4 -
140.7 MB
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1.3 MB
5. Text Processing Part2.mp4 -
138.4 MB
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1.6 MB
3. Creating Django App.mp4 -
138.3 MB
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1.7 MB
5. Integrating Jinja Framework.mp4 -
134.1 MB
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1.9 MB
5. Feature Selection.mp4 -
132.3 MB
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1.7 MB
7. Deployment on Heroku Cloud.mp4 -
131.5 MB
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550.0 KB
4. EDA Part 3.mp4 -
131.2 MB
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861.6 KB
3. Building the model.mp4 -
130.7 MB
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9. Coding the UI Part 2.mp4 -
129.6 MB
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425.9 KB
2. Importing libraries and Understanding Data.mp4 -
129.5 MB
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11. Text Analytics Part 4.mp4 -
129.4 MB
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6. Integrating Model with Flask.mp4 -
129.3 MB
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680.6 KB
14. Integrating with UI.mp4 -
127.9 MB
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61.2 KB
4. Coding the UI.mp4 -
127.7 MB
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309.9 KB
8. Deployment on Heroku Cloud.mp4 -
127.7 MB
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354.1 KB
3. Data preprocessing and creating output.mp4 -
127.5 MB
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534.3 KB
2. Text Processing Part1.mp4 -
127.1 MB
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6. Model Building.mp4 -
125.3 MB
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8. Text Analytics Part 1.mp4 -
124.7 MB
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6. Integrating Watson Service with UI.mp4 -
123.6 MB
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380.1 KB
2. EDA Part 1.mp4 -
123.2 MB
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774.8 KB
6. EDA Part-5.mp4 -
121.2 MB
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3. EDA Part 1.mp4 -
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2. Data Preprocessing.mp4 -
120.9 MB
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1.1 MB
2. Coding Recommendation System.mp4 -
119.3 MB
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4. Text Processing Part 1.mp4 -
119.1 MB
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3. Creating Flask App.mp4 -
118.0 MB
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4. Creating Django App.mp4 -
117.1 MB
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2. Creating Colab Notebook.mp4 -
116.6 MB
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2. handling the data.mp4 -
116.3 MB
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115.1 MB
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8. EDA Part-7.mp4 -
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2. Understanding the data.mp4 -
112.4 MB
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10. Text Analytics Part 3.mp4 -
112.1 MB
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2. Understanding the data.mp4 -
111.6 MB
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6. Django Application building.mp4 -
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3. Text Processing Part2.mp4 -
110.5 MB
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3. Feature Selection and model building.mp4 -
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8. Coding the UI Part 1.mp4 -
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262.5 KB
12. Text Analytics Part 5.mp4 -
109.3 MB
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3. Cleaning the data.mp4 -
109.3 MB
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5. Integrating Python Code with JavaScript.mp4 -
109.0 MB
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1.0 MB
2. Importing libraries and dataset.mp4 -
108.7 MB
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1.3 MB
3. Creating DJango App.mp4 -
108.2 MB
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2. Importing Libraries and understanding data.mp4 -
107.5 MB
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4. Django Application.mp4 -
107.4 MB
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3. Creating the pancard detector with opencv.mp4 -
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4. Feature Selection Part 1.mp4 -
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3. Creating Project App Django.mp4 -
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106.4 MB
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4. Building Django Application.mp4 -
105.9 MB
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5. EDA Part-4.mp4 -
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5. Deployment on Heroku.mp4 -
105.3 MB
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4. Implementing Django web application.mp4 -
105.3 MB
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10. Model Building Part-2.mp4 -
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2. Creating The Face App.mp4 -
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3. Feature Building and Selection.mp4 -
103.4 MB
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4. Building Django Application.mp4 -
103.2 MB
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2. Course Outline Video.mp4 -
101.4 MB
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3. Model building part2.mp4 -
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3. Transforming Images and creating output.mp4 -
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4. Django Application.mp4 -
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6. Model Building and Prediction using EVAL ML(Auto ML).mp4 -
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2. Data Preprocessing.mp4 -
97.3 MB
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5. Model Building and Prediction using PyCaret (AutoML).mp4 -
97.0 MB
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3. Integrating Service.mp4 -
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12. Model Building Part-4.mp4 -
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2. Model building.mp4 -
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5. Django Application.mp4 -
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2. EDA Part 1.mp4 -
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4. Model Building.mp4 -
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4. Creating ML Model.mp4 -
94.3 MB
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4. Creating The face app opencv.mp4 -
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3. EDA Part 2.mp4 -
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4. Exploratory Data Analysis.mp4 -
93.5 MB
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6. Model Building and Prediction using H2O Auto ML(Auto ML).mp4 -
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4. Django Application.mp4 -
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2. Cleaning the data.mp4 -
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3. Model Building.mp4 -
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3. Creating a Model.mp4 -
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6. Integrating JavaScript with Flask.mp4 -
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5. EDA Part 4.mp4 -
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3. Exploratory Data Analysis.mp4 -
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3. Creating Django App.mp4 -
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5. Implementing Django Application.mp4 -
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4. Creating A Flask App.mp4 -
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4. Deploying App in heroku.mp4 -
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3. EDA Part 2.mp4 -
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4. Creating A Flask App.mp4 -
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4. Setting up Watson Studio Part-2.mp4 -
78.4 MB
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1.6 MB
4. Model building.mp4 -
76.7 MB
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5. Creating Django Application part1.mp4 -
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3. Project Notebook Part2.mp4 -
76.4 MB
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3. Create text and image watermark.mp4 -
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2. Understanding the data.mp4 -
75.1 MB
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3. Preprocessing the data.mp4 -
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3. Building Model.mp4 -
74.7 MB
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15. Deployment on Heroku.mp4 -
74.6 MB
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7. Touch points on AWS.mp4 -
74.6 MB
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8. Model Building and Prediction using H2O Auto ML Library.mp4 -
73.4 MB
131 -
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4. Build and Train Model.mp4 -
73.2 MB
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5. Creating A Flask App.mp4 -
71.9 MB
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54.5 KB
3. Building Django App.mp4 -
71.9 MB
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76.4 KB
3. Setting up Watson Studio Part-1.mp4 -
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6. Model Building.mp4 -
70.9 MB
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5. Feature Engineering.mp4 -
70.4 MB
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1.6 MB
5.2 Face Swap Flask App.zip -
70.1 MB
138 -
1.9 MB
4. Modifying the extractor.mp4 -
69.9 MB
139 -
66.6 KB
5. Model Building using ML- 1.mp4 -
69.1 MB
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939.3 KB
7. Model Evaluation.mp4 -
69.0 MB
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1005.7 KB
7. Model Building and Prediction using PyCaret (AutoML).mp4 -
69.0 MB
142 -
1.0 MB
6. Deployment on Heroku Cloud.mp4 -
68.6 MB
143 -
1.4 MB
3. Data Analysis and Cleaning -1.mp4 -
68.6 MB
144 -
1.4 MB
4. EDA Part 2.mp4 -
68.1 MB
145 -
1.9 MB
3. Data Analysis.mp4 -
67.7 MB
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278.7 KB
3. Data Analysis.mp4 -
67.3 MB
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6. Creating Django Application part2.mp4 -
66.8 MB
148 -
1.2 MB
4. Deploying Flask App.mp4 -
66.5 MB
149 -
1.5 MB
6.1 Credit Card Fraud Using Pycaret -Code and Files.zip -
66.1 MB
150 -
1.9 MB
5. Building Flask App Deployment.mp4 -
65.8 MB
151 -
191.9 KB
2. Importing and processing data.mp4 -
65.8 MB
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194.9 KB
3. Project Structure.mp4 -
65.7 MB
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284.6 KB
3. Creating The face app opencv.mp4 -
65.7 MB
154 -
358.3 KB
3. Data Analysis.mp4 -
65.2 MB
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797.3 KB
4. Creating the app.mp4 -
63.4 MB
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656.4 KB
8. Deployment of Model using Flask API.mp4 -
63.3 MB
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668.4 KB
2. Model building part1.mp4 -
62.5 MB
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4. Deploying App in heroku.mp4 -
62.2 MB
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1.8 MB
4. creating and testing the model.mp4 -
62.1 MB
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1.9 MB
6. Model building and Predictions using Auto ML(Eval ML).mp4 -
61.4 MB
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4. Deploying The App.mp4 -
61.1 MB
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876.6 KB
4. Deploying App in heroku.mp4 -
60.5 MB
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1.5 MB
5. Model Testing.mp4 -
60.3 MB
164 -
1.7 MB
4. Creating a Flask App.mp4 -
59.4 MB
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591.3 KB
4. Deploying Django App.mp4 -
59.4 MB
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626.6 KB
5. Deploying on Heroku.mp4 -
59.2 MB
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814.9 KB
5. Model Building using ML Algorithms.mp4 -
59.1 MB
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892.7 KB
5. Delpoying on Heroku.mp4 -
58.8 MB
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4. Model Building using ML.mp4 -
58.3 MB
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1.7 MB
6. Text Processing Part 3.mp4 -
58.0 MB
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8. Coding the UI Part 1.mp4 -
58.0 MB
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42.4 KB
5. Deploying Django App.mp4 -
57.6 MB
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2. Importing Libraries And Data.mp4 -
57.5 MB
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2. importing the data and libraries.mp4 -
57.5 MB
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6. Model Building.mp4 -
57.4 MB
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622.8 KB
5. Feature Selection Part 2.mp4 -
56.9 MB
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2. Importing the data and libraries.mp4 -
56.8 MB
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4. Data Preprocessing.mp4 -
56.6 MB
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3. Data Analysis.mp4 -
56.1 MB
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5. Deploying On Heroku.mp4 -
55.2 MB
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1. Introduction.mp4 -
55.0 MB
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5. Deploying to Heroku.mp4 -
54.3 MB
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4. Feature Engineering.mp4 -
53.7 MB
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7. Deploying on Heroku.mp4 -
53.6 MB
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1. Introduction.mp4 -
53.1 MB
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6. Model Building using ML Algorithms.mp4 -
52.8 MB
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6. Deploying on heroku.mp4 -
52.7 MB
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3. Data Analysis and Cleaning.mp4 -
51.9 MB
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4. Building Flask App.mp4 -
51.9 MB
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5. Deploying on heroku.mp4 -
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5. Creating an app using streamlit.mp4 -
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4. building the model.mp4 -
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8. Using FLASK API.mp4 -
50.8 MB
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5. Feature Engineering 2.mp4 -
50.7 MB
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2. EDA Part-1.mp4 -
50.5 MB
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4. Data Analysis and Handling Missing Values- 2.mp4 -
50.1 MB
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3. Understanding the data.mp4 -
49.7 MB
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48.2 MB
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5. Creating model for test set.mp4 -
47.4 MB
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47.4 MB
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4. Model Building Part.mp4 -
46.7 MB
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45.8 MB
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5. Heroku Deployment.mp4 -
45.7 MB
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2. Importing Libraries and DataSet.mp4 -
45.2 MB
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3. Image processing.mp4 -
45.1 MB
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6. Model Building using ML- 2.mp4 -
45.1 MB
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6. Model Building using TPOT Auto ML Library-1.mp4 -
44.3 MB
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1. Introduction.mp4 -
44.1 MB
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4. Feature Engineering 1.mp4 -
43.6 MB
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5. Model Building using ML models.mp4 -
43.4 MB
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601.1 KB
7. Model Building and Predictions using TPOT Library (Auto ML).mp4 -
43.4 MB
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1. Introduction to the Project.mp4 -
43.4 MB
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628.7 KB
3. Data Analysis.mp4 -
43.3 MB
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684.9 KB
5. Django Application Introduction.mp4 -
43.0 MB
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1000.8 KB
5.1 Collab Code.zip -
42.6 MB
217 -
1.4 MB
5. Deploying the Model on Deployment Center..mp4 -
42.4 MB
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1.6 MB
8. Model Building and Prediction using Auto SK Learn.mp4 -
41.9 MB
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108.8 KB
2. Importing Libraries and DataSet.mp4 -
40.8 MB
220 -
1.2 MB
3. Extracting the test from image.mp4 -
40.7 MB
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7. Deploying on Heroku.mp4 -
40.4 MB
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1.6 MB
2. Introduction.mp4 -
40.3 MB
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1. Introduction.mp4 -
40.0 MB
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3. Data Analysis and splitting of Data.mp4 -
40.0 MB
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11. Model Deployment on Azure Part 2.mp4 -
39.6 MB
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6. Deploy the app in Heroku.mp4 -
39.1 MB
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5. creating the extractor app.mp4 -
38.6 MB
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7. Model Building using ML.mp4 -
38.5 MB
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4. Model Building.mp4 -
38.5 MB
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3. Data Analysis and Handling Missing Values- 1.mp4 -
38.3 MB
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1. Introduction.mp4 -
37.8 MB
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218.8 KB
6. Model Building and prediction using ARIMA and Auto Keras (Auto ML).mp4 -
37.5 MB
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499.2 KB
4. Data Preprocessing.mp4 -
36.8 MB
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1.2 MB
1. Introduction To The Course.mp4 -
36.8 MB
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1.2 MB
2. Importing libraries and data.mp4 -
36.2 MB
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1.8 MB
1. Introduction to the Project.mp4 -
35.4 MB
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1. Introduction.mp4 -
35.1 MB
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2. Importing Libraries and DataSet.mp4 -
35.1 MB
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957.3 KB
1. Introduction.mp4 -
35.0 MB
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1. Introduction to the Project.mp4 -
34.5 MB
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5. Model Building and Prediction using ANN.mp4 -
34.1 MB
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7.1 Clothes- Code.zip -
34.0 MB
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2.0 MB
9. Fixing the Errors.mp4 -
34.0 MB
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2. Importing libraries and DataSet.mp4 -
33.9 MB
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2. Importing libraries and data.mp4 -
33.9 MB
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4. Data Analysis and Cleaning -2.mp4 -
33.7 MB
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5. Model Building Part 2.mp4 -
33.6 MB
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380.9 KB
9. Deploying model using Heroku.mp4 -
33.3 MB
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1. Introduction to the Project.mp4 -
33.1 MB
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967.9 KB
5. Model Building and Prediction using LSTM model.mp4 -
32.6 MB
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1.4 MB
2. Importing libraries and data.mp4 -
31.7 MB
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260.9 KB
3. Data Analysis.mp4 -
31.7 MB
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351.3 KB
2. Loading libraries and dataset.mp4 -
31.5 MB
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562.8 KB
5. Data Preprocessing.mp4 -
31.1 MB
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880.9 KB
2. Importing Libraries and Data sets.mp4 -
31.0 MB
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1009.8 KB
3. Data processing Bird Species Prediction.mp4 -
30.9 MB
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1.1 MB
1. Introduction to traffic sign classification.mp4 -
30.8 MB
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1.2 MB
4. Feature Engineering.mp4 -
30.7 MB
259 -
1.3 MB
1. Introduction.mp4 -
30.6 MB
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1.4 MB
1. Introduction to the Project.mp4 -
30.6 MB
261 -
1.4 MB
6.1 Similarity in texts -Code.zip -
30.5 MB
262 -
1.5 MB
5. Deploying the app in heroku.mp4 -
30.0 MB
263 -
2.0 MB
3. Data Preprocessing.mp4 -
30.0 MB
264 -
4.8 KB
1. Introduction to the Project.mp4 -
29.6 MB
265 -
454.5 KB
7. Model Building and Prediction using ML.mp4 -
29.5 MB
266 -
492.6 KB
6. Splitting the Data.mp4 -
29.4 MB
267 -
607.4 KB
5. Creating Important functions.mp4 -
29.1 MB
268 -
947.8 KB
6. Creating the Flask App.mp4 -
28.1 MB
269 -
1.9 MB
2. Importing Libraries and DataSet.mp4 -
27.4 MB
270 -
611.9 KB
1. Introduction.mp4 -
27.1 MB
271 -
954.4 KB
7. Model Building using TPOT Auto ML Library-2.mp4 -
26.9 MB
272 -
1.1 MB
1. Introduction to the project.mp4 -
26.0 MB
273 -
2.0 MB
1. Introduction.mp4 -
25.8 MB
274 -
202.0 KB
2. Fetching Data from Whatsapp.mp4 -
25.7 MB
275 -
276.8 KB
1. Introduction.mp4 -
25.7 MB
276 -
304.2 KB
1. Introduction.mp4 -
25.6 MB
277 -
381.2 KB
2. Importing libraries and logo.mp4 -
25.2 MB
278 -
855.8 KB
2. Importing Libraries and DataSet.mp4 -
25.0 MB
279 -
982.6 KB
6. Feature Selection.mp4 -
25.0 MB
280 -
1008.2 KB
12. Deployment Part 2.mp4 -
24.9 MB
281 -
1.1 MB
1. Overview.mp4 -
24.1 MB
282 -
1.9 MB
1. Introduction to the Project.mp4 -
23.8 MB
283 -
241.4 KB
1. Introduction.mp4 -
22.5 MB
284 -
1.5 MB
2. Importing libraries and data.mp4 -
22.4 MB
285 -
1.6 MB
1. Introduction to the Project.mp4 -
21.9 MB
286 -
97.9 KB
2. Setting Service.mp4 -
21.6 MB
287 -
444.1 KB
1. Introduction to the Project.mp4 -
21.4 MB
288 -
566.9 KB
1. Introduction to Bird Species Prediction.mp4 -
21.4 MB
289 -
582.5 KB
8.1 Car selling price prediction -Code.zip -
21.4 MB
290 -
591.6 KB
1. Introduction.mp4 -
21.3 MB
291 -
729.3 KB
1. Introduction.mp4 -
20.4 MB
292 -
1.6 MB
2. Importing Libraries and Data Set.mp4 -
20.0 MB
293 -
2.0 MB
1. Introduction.mp4 -
19.4 MB
294 -
595.1 KB
13. Model Building Part-5.mp4 -
19.1 MB
295 -
959.0 KB
5. Testing the model.mp4 -
18.8 MB
296 -
1.2 MB
1. Introduction to text extraction.mp4 -
18.5 MB
297 -
1.5 MB
6.1 Artist Sculpture- Code.zip -
18.1 MB
298 -
1.9 MB
7. Running the app.mp4 -
17.3 MB
299 -
745.6 KB
1. Introduction.mp4 -
16.3 MB
300 -
1.7 MB
1. Introduction To Pan Card Tempering Detector.mp4 -
16.2 MB
301 -
1.8 MB
1. Introduction to dog breed prediction.mp4 -
15.9 MB
302 -
82.0 KB
1. Introduction.mp4 -
15.9 MB
303 -
119.3 KB
2. Importing Libraries and Datasets.mp4 -
15.7 MB
304 -
318.6 KB
6.2 Collab Code.zip -
15.3 MB
305 -
759.1 KB
1. Introduction.mp4 -
15.2 MB
306 -
782.8 KB
1. Introduction.mp4 -
15.1 MB
307 -
899.9 KB
1. Introduction.mp4 -
15.0 MB
308 -
1.0 MB
4. Creating the Flask App.mp4 -
14.9 MB
309 -
1.1 MB
1. Introduction.mp4 -
14.9 MB
310 -
1.1 MB
6. Running the extractor app.mp4 -
14.8 MB
311 -
1.2 MB
6.1 Collab Code.zip -
14.6 MB
312 -
1.4 MB
1. Introduction.mp4 -
14.2 MB
313 -
1.8 MB
1. Project Overview.mp4 -
13.5 MB
314 -
499.4 KB
1. Introduction To Customer Revenue Prediction.mp4 -
13.3 MB
315 -
727.8 KB
1. Introduction To Cats Vs Dogs Classification.mp4 -
13.2 MB
316 -
848.1 KB
6.1 Medical- Code.zip -
12.4 MB
317 -
1.6 MB
1. Introduction.mp4 -
12.1 MB
318 -
1.9 MB
1. Introduction.mp4 -
12.1 MB
319 -
1.9 MB
1. Introduction.mp4 -
12.0 MB
320 -
24.5 KB
1. Introduction.mp4 -
11.4 MB
321 -
628.9 KB
10.1 Rain prediction Project code and files.zip -
10.8 MB
322 -
1.2 MB
1. Introduction.mp4 -
10.6 MB
323 -
1.4 MB
1. Introduction.mp4 -
10.3 MB
324 -
1.7 MB
1. Introduction.mp4 -
9.2 MB
325 -
780.4 KB
1. Introduction to Sentiment Analysis.mp4 -
9.2 MB
326 -
858.3 KB
8.1 Affair prediction- Code.zip -
8.8 MB
327 -
1.2 MB
6.1 Phishing -Code.zip -
6.4 MB
328 -
1.6 MB
7. Testing the deployed pan card detector.mp4 -
5.7 MB
329 -
298.3 KB
5.1 Collab Code.zip -
5.7 MB
330 -
325.0 KB
6.1 Bank Cards -Code.zip -
5.5 MB
331 -
505.3 KB
9.1 Air Quality Project Code and files.zip -
5.3 MB
332 -
729.7 KB
7.1 Google App rating preiction Code.zip -
4.7 MB
333 -
1.3 MB
6.1 Mushroom Classification App Code.zip -
4.2 MB
334 -
1.8 MB
10.1 Book genre classification -Code Files.zip -
4.0 MB
335 -
19.8 KB
6.1 Bird Species Flask App.zip -
3.9 MB
336 -
147.6 KB
5.2 Intel Image Flask App.zip -
3.5 MB
337 -
481.9 KB
6.2 Image Watermarking Flask App.zip -
3.3 MB
338 -
708.0 KB
16.1 laptop price predictor -Code Files.zip -
3.3 MB
339 -
740.9 KB
5.1 Voice Gender Prediction code.zip -
3.1 MB
340 -
962.7 KB
6.2 Plant Disease Flask App.zip -
2.3 MB
341 -
1.7 MB
3. Udemy Feedback.mp4 -
2.0 MB
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