Python Hands On Crash Course For Data Science 12 Projects
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Python Hands On Crash Course For Data Science 12 Projects
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Python Hands On Crash Course For Data Science 12 Projects
1. Introduction.mp4 -
TutsNode.com.txt -
1. Introduction 1-en_US.srt -
2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt -
Download Curriculum.html -
3. Exploratory Data Analysis (EDA)-en_US.srt -
Download Datasets.html -
3. Lab Session-en_US.srt -
1. Supervised Machine Learning-en_US.srt -
2. Lab Session-en_US.srt -
2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt -
4. Lab Session 3 Building Linear Regression Model-en_US.srt -
14. Numpy DataFrame Introduction-en_US.srt -
Lecture Resources.html -
0 -
1. Supervised Machine Learning.mp4 -
TDS-Python-Crash-Course-Curriculum.pdf -
3. Lab Session 2 EDA Dealing With Categorical And Missing Values-en_US.srt -
1. Introduction-en_US.srt -
Lecture Resources.html -
4. Lab Session 2 Exploratory Data Analysis(EDA)-en_US.srt -
1. Web Scraping On Wikipedia-en_US.srt -
3. Lab Session-en_US.srt -
1. Introduction-en_US.srt -
3. Building Amazon Auto Scraper-en_US.srt -
1. Analyze Your Facebook Data Live!!-en_US.srt -
Lesson Resources.html -
Loading Dataset In Colab.html -
1. Python Hands-On Introduction-en_US.srt -
1. Linear Regression-en_US.srt -
6. Creating The Necessary Folders-en_US.srt -
1. Introduction-en_US.srt -
3. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt -
4. Model Building-en_US.srt -
2. Introduction 2-en_US.srt -
2. PART 2 Python Tips & Tricks-en_US.srt -
5. Lab Session 3 Building Logistic Regression Model-en_US.srt -
4. Hands-On Coding Python Operators-Bitwise Operators-en_US.srt -
1 -
1. Web Scraping On Wikipedia.mp4 -
Lecture Resources.html -
1. Introduction-en_US.srt -
2. Applications Of A.IMachine Learning-en_US.srt -
2. PART 2 Book Store Web Scrapping-en_US.srt -
2. KNN Distance Measures-en_US.srt -
5. Choosing K In K-NN-en_US.srt -
1. Pandas Series 1-en_US.srt -
4. Lab Session Building KNN Model-en_US.srt -
8. Final Deployment-en_US.srt -
4. Lab Session 2 Building A Support Vector Machine (SVM) Model-en_US.srt -
3. Create Your First Flask App Linking HTML File-en_US.srt -
7. Creating Folder Contents-en_US.srt -
4. PART 4 Book Store Web Scrapping-en_US.srt -
2. Linkedin Connections Company Analysis with Python-en_US.srt -
1. User Define Functions-en_US.srt -
2 -
1. Introduction 1.mp4 -
6. Python Hands-On Python Operators-Special Operators-en_US.srt -
11. Numpy Indexing & Slicing-en_US.srt -
1. What Is K-Means Clustering-en_US.srt -
1. Scipy-en_US.srt -
1. PART 1 Python Tips & Tricks-en_US.srt -
1. Scikit-Learn-en_US.srt -
2. If...Else Statement-en_US.srt -
2. Install and Write Your First Python Code-en_US.srt -
1. Introduction-en_US.srt -
1. Introduction-en_US.srt -
1. Introduction-en_US.srt -
2. PART 2 Building Amazon Auto Scraper-en_US.srt -
3. Choosing K in K-Means-The Elbow Method-en_US.srt -
2. Create Your First Flask App-en_US.srt -
2. Hands-On With Python Keywords And Identifiers-en_US.srt -
1. Linkedin Connection Timeline Analysis with Python-en_US.srt -
1. Difference Between KNN and K-Means Algorithms-en_US.srt -
1. Introduction To Numpy-en_US.srt -
1. Curriculum Video Walkthrough-en_US.srt -
4. Create Your First Flask App Linking CSS File-en_US.srt -
9. Pandas How To Drop Columns And Rows In Pandas DataFrame-en_US.srt -
5. Hands-On With Flask-en_US.srt -
3. Splitting Function-en_US.srt -
2. Pandas Series 2-en_US.srt -
2. Dealing With Linearly Inseparable Points-en_US.srt -
2. Dendrograms And Cophenetic correlation-en_US.srt -
1. LIST-en_US.srt -
5. Misspelling, Missing and Misusing Python Keywords-en_US.srt -
1. Global Variable-en_US.srt -
8. How To Generate Calendar-en_US.srt -
3 -
3. Exploratory Data Analysis (EDA).mp4 -
3. PART 3 Book Store Web Scrapping-en_US.srt -
1. Automate WhatsApp Messages-en_US.srt -
2. The Close Method-en_US.srt -
2. Difference between Regression And Correlation-en_US.srt -
4. Handling Exceptions With Try & Except-en_US.srt -
22. PandasJoin-en_US.srt -
15. Pandas Conditional Selection With Pandas-en_US.srt -
5. Pandas Operations On Pandas DataFrame-en_US.srt -
4. Range In Python-en_US.srt -
3. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt -
2. Renaming Modules-en_US.srt -
5. Hands-On Coding Python Variables-en_US.srt -
3. Linkedin Connections Position Analysis with Python-en_US.srt -
7. Pandas Reading A Dataset Into Pandas DataFrame-en_US.srt -
2. Introduction to Dataset-en_US.srt -
4. Lambda Function-en_US.srt -
23. Pandas Merge-en_US.srt -
3. Pandas Loc & iLoc-en_US.srt -
3. Drawing Insights From Data-en_US.srt -
2. Hands-On Coding Input() Function In Python-en_US.srt -
1. Python Files-en_US.srt -
11. Operator Errors In Python-en_US.srt -
2. Working On List-en_US.srt -
3. Hands-On Coding Python Operators Logical Operators-en_US.srt -
16. Pandas How To Deal With Null Values-en_US.srt -
3. Hands-On Code Python Comments-en_US.srt -
4. Linkedin Connections Position Analysis(WordCloud) with Python-en_US.srt -
6. Hands-On Coding Rules and Naming Conventions for Python Variables-en_US.srt -
14. How To Handle Different Time Zones-en_US.srt -
11. Pandas How To Rename A Column In Pandas Dataframe-en_US.srt -
1. Automate Facebook Messenger with Python-en_US.srt -
5. List Comprehension In Python-en_US.srt -
Lecture Resources.html -
20. Pandas Concatenate Function-en_US.srt -
5. Built-In Function-en_US.srt -
4. Writing To A File In Python-en_US.srt -
13. Pandas How To Check For Missing Values or Null Values(isnull() Vs Isna())-en_US.srt -
2. Python Syntax Errors-en_US.srt -
2. PIP Install Python Libraries-en_US.srt -
1. PART 1 Book Store Web Scrapping-en_US.srt -
1. Python Modules-en_US.srt -
5. Working With TimeDelta in Python-en_US.srt -
15. Numpy Creating Matrix-en_US.srt -
14. Pandas Pandas Describe Function-en_US.srt -
6. Monthly Order Analysis-en_US.srt -
12. Logical Errors In Python-en_US.srt -
3. Numpy Arange Function-en_US.srt -
7. Numpy Resize Function-en_US.srt -
3. ELif Statement-en_US.srt -
5. While loop-en_US.srt -
17. DataFrame How to Get The Week and Leap Year from DataFrame-en_US.srt -
5. Numpy Reshape Function-en_US.srt -
1. Exception Handling Introduction-en_US.srt -
16. DataFrame Get Year, Month and Day from a DataFrame 2-en_US.srt -
2. Data Cleaning-en_US.srt -
30. Folium Plot-en_US.srt -
20. Sunburst Interactive Plotting 1-en_US.srt -
41. Animated Plot With Matplotlib Code Walk Through 4-en_US.srt -
2. Introduction To Jupyter Notebook Code Vs Markdown Vs Raw-en_US.srt -
4. Time Series Analysis-en_US.srt -
2. Arbitrary Arguments-en_US.srt -
13. Numpy How To Create A Copy Dataset-en_US.srt -
4. Numpy Zeros, Ones and Eye functions-en_US.srt -
6. The Finally Clause-en_US.srt -
6. Missing Parentheses, Brackets and Quotes-en_US.srt -
12. Numpy Broadcasting-en_US.srt -
2. Raising An Exception In Python-en_US.srt -
5. Daily Order Analysis-en_US.srt -
42. Animated Plot With Matplotlib Final Output-en_US.srt -
28. Creating WordCloud-en_US.srt -
1. Python Packages and Libraries-en_US.srt -
10. Date and Time Formatting Using STRFTIME and STRPTIME-en_US.srt -
1. Introduction-en_US.srt -
Lecture Resources.html -
23. Bubble Plot-en_US.srt -
1. Introduction To Google Colab Overview-en_US.srt -
24. Box Plot-en_US.srt -
1. Introduction-en_US.srt -
2. Introduction To Google Colab Working With Text-en_US.srt -
1. If Statement-en_US.srt -
8. Pandas Adding A Column To Pandas DataFrame-en_US.srt -
3. Hands-On Coding Import() Function In Python-en_US.srt -
4. Pandas DataFrame Introduction-en_US.srt -
15. Tree Plot-en_US.srt -
20. Operations on Date and Time with Dataset 2-en_US.srt -
12. How To Work With Timestamp-en_US.srt -
17. Heat Map-en_US.srt -
2. Plotting Bar Graphs-en_US.srt -
4. Lesson 4 Tuple & List Mutability-en_US.srt -
7. Continue Statement-en_US.srt -
1. Getting Started With Anaconda-en_US.srt -
8. Python Runtime Error-en_US.srt -
39. Animated Plot With Matplotlib Code Walk Through 2-en_US.srt -
7. Lesson 7 Dictionary-en_US.srt -
5. Plotly Display Output In Google Colab-en_US.srt -
32. Multi-Variable Time Series Plot-en_US.srt -
2. Local Variable-en_US.srt -
6. Altair-en_US.srt -
31. Time Series Plot-en_US.srt -
34. 3D Plots With Plotly-en_US.srt -
7. ggplot-en_US.srt -
21. Pandas Join & Merge(Creating Dataset)-en_US.srt -
19. Operations on Date and Time with Dataset 1-en_US.srt -
10. NumpyGenerating Random Values With random.randint-en_US.srt -
10. Pandas How To Reset Index In Pandas Dataframe-en_US.srt -
5. Hands-On Coding Python Operators-Assignment Operators-en_US.srt -
4. Python Common Syntax Errors-en_US.srt -
4. Hands-On Coding Python Docstring-en_US.srt -
18. Pandas Pandas Groupby-en_US.srt -
6. How To Extract Week-Day From A Given Date 1-en_US.srt -
1. Flask Introduction-en_US.srt -
9. Distplot-en_US.srt -
4. Plotly-en_US.srt -
6. Break Statement-en_US.srt -
4. Introduction To Jupyter Notebook Working With Code(Saving & Exporting Notebook)-en_US.srt -
12. Pandas Tail(), Column and Index-en_US.srt -
6. Pandas Selection And Indexing On Pandas DataFrame-en_US.srt -
17. Pandas How To Sort Values In Pandas-en_US.srt -
8. NumpyGenerating Random Values With random.rand-en_US.srt -
33. 3D Plots With Matplotlib-en_US.srt -
Lecture Resources.html -
4. For loop-en_US.srt -
36. Animated Plot With Plotly-en_US.srt -
3. Seaborn-en_US.srt -
7. How To Extract Week-Day From A Given Date 2-en_US.srt -
9. Zero Division Error-en_US.srt -
5. Lesson 5 Tuple Immutability-en_US.srt -
5. The Else Clause-en_US.srt -
1. Lesson 1 Integer & Floating Point Numbers-en_US.srt -
3. Raising An AssertionError In Python-en_US.srt -
6. Histogram-en_US.srt -
3. How To Properly Read and Understand Errors In Python-en_US.srt -
15. DataFrame Get Year, Month and Day from a DataFrame 1-en_US.srt -
7. Hands-On Coding Python Operators-Membership Operators-en_US.srt -
10. Bivariate and Multivariate Distplot-en_US.srt -
Lecture Resources.html -
1. Python Error Handling Introduction-en_US.srt -
15. Python KeyError-en_US.srt -
2. Lesson 2 Complex Numbers & Strings-en_US.srt -
2. Matplotlib-en_US.srt -
3. Horizontal Bar Graphs-en_US.srt -
1. Bar Graph Dataset Overview-en_US.srt -
3. Introduction To Google Colab Saving & Exporting Notebook-en_US.srt -
10. Searching On Stack Overflow-en_US.srt -
5. Group Bar Graphs-en_US.srt -
19. Sunburst-en_US.srt -
12. Scatter Plot-en_US.srt -
22. Funnel Plot-en_US.srt -
7. Marginal Histogram-en_US.srt -
26. Wind Rose Chart-en_US.srt -
8. Facet Histogram-en_US.srt -
13. Relplot-en_US.srt -
4. Stacked Bar Graphs-en_US.srt -
18. DataFrame How to Get Age from Date-en_US.srt -
18. Python KeyboardInterrupt-en_US.srt -
9. NumpyGenerating Random Values With random.randn-en_US.srt -
11. Hexplot-en_US.srt -
16. Pie Chart-en_US.srt -
1. Flask Introduction-en_US.srt -
7. Indentation Error-en_US.srt -
6. Numpy Linspace-en_US.srt -
27. Word Cloud Overview Of Dataset-en_US.srt -
14. LM Plot-en_US.srt -
21. Operations on Date and Time with Dataset 3-en_US.srt -
37. Animated Plot With Matplotlib COVID 19 Dataset-en_US.srt -
1. Hands-On Coding Output() Function In Python-en_US.srt -
2. How To Extract Day, Month and Year from a given Time-en_US.srt -
3. The With Statement-en_US.srt -
18. Scatter Matrix-en_US.srt -
3. Lesson 3 LIST-en_US.srt -
3. Introduction To Jupyter Notebook Working With Text-en_US.srt -
40. Animated Plot With Matplotlib Code Walk Through 3-en_US.srt -
1. Hands-On Coding Python Operators-Arithmetic Operators-en_US.srt -
3. How to Extract Hours, Minutes, Seconds and Micro-seconds from a given Time-en_US.srt -
6. Lesson 6 Set-en_US.srt -
3. The from...import Statement-en_US.srt -
21. Sunburst Interactive Plotting 2-en_US.srt -
19. Pandas Count() & Value_Count()-en_US.srt -
13. Python IndexError-en_US.srt -
3. Function With Loops-en_US.srt -
2. Hands-On Coding Python Operators Comparison Operators-en_US.srt -
38. Animated Plot With Matplotlib Code Walk Through 1-en_US.srt -
25. Violin Plot-en_US.srt -
2. Numpy Creating Multi-Dimensional Arrays-en_US.srt -
29. Folium Overview Of Dataset-en_US.srt -
35. 3D Plots With Plotly Output-en_US.srt -
2. Library Requests-en_US.srt -
4. How To Update current Date-en_US.srt -
11. How To Extract The Year, Month, Day Time Using STRFTIME-en_US.srt -
14. Python ModuleNotFoundError-en_US.srt -
5. Library Scrapy-en_US.srt -
Last Words.html -
16. Python ImportError-en_US.srt -
9. How To Format Date and Time in Python-en_US.srt -
1. Web Scraping Introduction-en_US.srt -
13. How To Convert Strings To DateTime Using STRPTIME-en_US.srt -
17. Python ValueError-en_US.srt -
4. Library Selenium-en_US.srt -
1. Part 1 Building Amazon Web Scraper-en_US.srt -
3. Library BeautifulSoup-en_US.srt -
Introduction.html -
[TGx]Downloaded from torrentgalaxy.to .txt -
Introduction.html -
Lecture Resources.html -
Lecture Resources.html -
Lecture Resources.html -
Lecture Resources.html -
Lecture Resources.html -
Lecture Resources.html -
Lecture Resources.html -
Lecture Resources.html -
Lecture Resources.html -
Lecture Resources.html -
Lecture Resources.html -
Introduction.html -
Lecture Resources.html -
Lecture Resources.html -
Dataset.html -
4 -
2. Lab Session.mp4 -
5 -
2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 -
6 -
4. Lab Session 3 Building Linear Regression Model.mp4 -
7 -
2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 -
8 -
1. Introduction.mp4 -
9 -
3. Lab Session 2 EDA Dealing With Categorical And Missing Values.mp4 -
10 -
2. Applications Of A.IMachine Learning.mp4 -
11 -
3. Lab Session.mp4 -
12 -
1. Analyze Your Facebook Data Live!!.mp4 -
13 -
5. Hands-On With Flask.mp4 -
14 -
3. Building Amazon Auto Scraper.mp4 -
15 -
4. Lab Session 2 Exploratory Data Analysis(EDA).mp4 -
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1. Introduction.mp4 -
17 -
4. Model Building.mp4 -
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2. PART 2 Book Store Web Scrapping.mp4 -
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8. Final Deployment.mp4 -
20 -
3. Lab Session.mp4 -
21 -
1. Introduction.mp4 -
22 -
2. KNN Distance Measures.mp4 -
23 -
7. Creating Folder Contents.mp4 -
24 -
6. Creating The Necessary Folders.mp4 -
25 -
1. Linear Regression.mp4 -
26 -
3. Lab Session 1 Exploratory Data Analysis(EDA).mp4 -
27 -
1. Introduction.mp4 -
28 -
2. PART 2 Python Tips & Tricks.mp4 -
29 -
3. Create Your First Flask App Linking HTML File.mp4 -
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5. Lab Session 3 Building Logistic Regression Model.mp4 -
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4. Lab Session 2 Building A Support Vector Machine (SVM) Model.mp4 -
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2. Introduction 2.mp4 -
33 -
4. PART 4 Book Store Web Scrapping.mp4 -
34 -
2. Linkedin Connections Company Analysis with Python.mp4 -
35 -
1. Scipy.mp4 -
36 -
1. Pandas Series 1.mp4 -
37 -
5. Choosing K In K-NN.mp4 -
38 -
2. Install and Write Your First Python Code.mp4 -
39 -
4. Create Your First Flask App Linking CSS File.mp4 -
40 -
14. Numpy DataFrame Introduction.mp4 -
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11. Numpy Indexing & Slicing.mp4 -
42 -
1. Introduction.mp4 -
43 -
1. PART 1 Python Tips & Tricks.mp4 -
44 -
2. PART 2 Building Amazon Auto Scraper.mp4 -
45 -
1. Difference Between KNN and K-Means Algorithms.mp4 -
46 -
1. Scikit-Learn.mp4 -
47 -
1. Introduction.mp4 -
48 -
4. Lab Session Building KNN Model.mp4 -
49 -
3. PART 3 Book Store Web Scrapping.mp4 -
50 -
1. What Is K-Means Clustering.mp4 -
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9. Pandas How To Drop Columns And Rows In Pandas DataFrame.mp4 -
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1. Linkedin Connection Timeline Analysis with Python.mp4 -
53 -
2. Hands-On With Python Keywords And Identifiers.mp4 -
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2. Dendrograms And Cophenetic correlation.mp4 -
55 -
2. Dealing With Linearly Inseparable Points.mp4 -
56 -
1. Curriculum Video Walkthrough.mp4 -
57 -
2. Pandas Series 2.mp4 -
58 -
1. User Define Functions.mp4 -
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1. Automate WhatsApp Messages.mp4 -
60 -
2. Introduction to Dataset.mp4 -
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5. Pandas Operations On Pandas DataFrame.mp4 -
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3. Choosing K in K-Means-The Elbow Method.mp4 -
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22. PandasJoin.mp4 -
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3. Linkedin Connections Position Analysis with Python.mp4 -
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7. Pandas Reading A Dataset Into Pandas DataFrame.mp4 -
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3. Splitting Function.mp4 -
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3. Lab Session 1 Exploratory Data Analysis(EDA).mp4 -
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15. Pandas Conditional Selection With Pandas.mp4 -
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1. LIST.mp4 -
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1. Automate Facebook Messenger with Python.mp4 -
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14. Pandas Pandas Describe Function.mp4 -
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4. Handling Exceptions With Try & Except.mp4 -
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1. Introduction To Numpy.mp4 -
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5. Misspelling, Missing and Misusing Python Keywords.mp4 -
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4. Linkedin Connections Position Analysis(WordCloud) with Python.mp4 -
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14. How To Handle Different Time Zones.mp4 -
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2. Working On List.mp4 -
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1. PART 1 Book Store Web Scrapping.mp4 -
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4. Writing To A File In Python.mp4 -
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11. Pandas How To Rename A Column In Pandas Dataframe.mp4 -
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2. Difference between Regression And Correlation.mp4 -
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1. Python Files.mp4 -
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30. Folium Plot.mp4 -
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4. Range In Python.mp4 -
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23. Pandas Merge.mp4 -
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5. Hands-On Coding Python Variables.mp4 -
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3. Drawing Insights From Data.mp4 -
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1. Flask Introduction.mp4 -
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2. Hands-On Coding Input() Function In Python.mp4 -
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20. Sunburst Interactive Plotting 1.mp4 -
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7. Numpy Resize Function.mp4 -
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41. Animated Plot With Matplotlib Code Walk Through 4.mp4 -
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4. Lambda Function.mp4 -
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3. Hands-On Code Python Comments.mp4 -
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20. Pandas Concatenate Function.mp4 -
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3. Hands-On Coding Python Operators Logical Operators.mp4 -
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4. Pandas DataFrame Introduction.mp4 -
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15. Numpy Creating Matrix.mp4 -
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42. Animated Plot With Matplotlib Final Output.mp4 -
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4. Time Series Analysis.mp4 -
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2. Data Cleaning.mp4 -
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16. Pandas How To Deal With Null Values.mp4 -
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13. Pandas How To Check For Missing Values or Null Values(isnull() Vs Isna()).mp4 -
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28. Creating WordCloud.mp4 -
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2. Python Syntax Errors.mp4 -
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6. Hands-On Coding Rules and Naming Conventions for Python Variables.mp4 -
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6. Monthly Order Analysis.mp4 -
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8. Pandas Adding A Column To Pandas DataFrame.mp4 -
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5. List Comprehension In Python.mp4 -
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4. Hands-On Coding Python Operators-Bitwise Operators.mp4 -
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3. Pandas Loc & iLoc.mp4 -
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11. Operator Errors In Python.mp4 -
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2. PIP Install Python Libraries.mp4 -
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32. Multi-Variable Time Series Plot.mp4 -
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1. Python Modules.mp4 -
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5. Daily Order Analysis.mp4 -
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34. 3D Plots With Plotly.mp4 -
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17. DataFrame How to Get The Week and Leap Year from DataFrame.mp4 -
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2. Introduction To Google Colab Working With Text.mp4 -
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12. How To Work With Timestamp.mp4 -
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10. Date and Time Formatting Using STRFTIME and STRPTIME.mp4 -
122 -
1. Introduction To Google Colab Overview.mp4 -
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3. Numpy Arange Function.mp4 -
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1. Introduction.mp4 -
125 -
6. The Finally Clause.mp4 -
126 -
2. Arbitrary Arguments.mp4 -
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12. Logical Errors In Python.mp4 -
128 -
3. ELif Statement.mp4 -
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10. Pandas How To Reset Index In Pandas Dataframe.mp4 -
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5. Working With TimeDelta in Python.mp4 -
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36. Animated Plot With Plotly.mp4 -
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1. Exception Handling Introduction.mp4 -
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39. Animated Plot With Matplotlib Code Walk Through 2.mp4 -
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23. Bubble Plot.mp4 -
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13. Numpy How To Create A Copy Dataset.mp4 -
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1. Python Packages and Libraries.mp4 -
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2. Raising An Exception In Python.mp4 -
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35. 3D Plots With Plotly Output.mp4 -
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6. How To Extract Week-Day From A Given Date 1.mp4 -
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8. Python Runtime Error.mp4 -
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15. Tree Plot.mp4 -
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4. Numpy Zeros, Ones and Eye functions.mp4 -
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6. Altair.mp4 -
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7. ggplot.mp4 -
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6. Missing Parentheses, Brackets and Quotes.mp4 -
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5. Built-In Function.mp4 -
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1. Python Error Handling Introduction.mp4 -
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24. Box Plot.mp4 -
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1. Hands-On Coding Output() Function In Python.mp4 -
11.6 MB
238 -
375.3 KB
11. Hexplot.mp4 -
11.5 MB
239 -
477.9 KB
13. Python IndexError.mp4 -
11.5 MB
240 -
502.2 KB
4. Library Selenium.mp4 -
11.5 MB
241 -
559.4 KB
4. Stacked Bar Graphs.mp4 -
11.3 MB
242 -
716.5 KB
25. Violin Plot.mp4 -
11.3 MB
243 -
743.5 KB
1. Global Variable.mp4 -
11.0 MB
244 -
1.0 MB
4. How To Update current Date.mp4 -
10.6 MB
245 -
1.4 MB
1. Web Scraping Introduction.mp4 -
10.5 MB
246 -
1.5 MB
5. Numpy Reshape Function.mp4 -
10.1 MB
247 -
1.9 MB
14. LM Plot.mp4 -
10.0 MB
248 -
12.8 KB
3. Horizontal Bar Graphs.mp4 -
10.0 MB
249 -
45.9 KB
2. Numpy Creating Multi-Dimensional Arrays.mp4 -
9.8 MB
250 -
166.6 KB
6. Python Hands-On Python Operators-Special Operators.mp4 -
9.8 MB
251 -
182.7 KB
7. Marginal Histogram.mp4 -
9.6 MB
252 -
363.0 KB
3. Lesson 3 LIST.mp4 -
9.6 MB
253 -
380.7 KB
13. How To Convert Strings To DateTime Using STRPTIME.mp4 -
9.6 MB
254 -
385.0 KB
2. Create Your First Flask App.mp4 -
9.5 MB
255 -
474.4 KB
3. Introduction To Jupyter Notebook Working With Text.mp4 -
9.1 MB
256 -
885.0 KB
3. Library BeautifulSoup.mp4 -
8.6 MB
257 -
1.4 MB
2. Renaming Modules.mp4 -
8.4 MB
258 -
1.6 MB
9. How To Format Date and Time in Python.mp4 -
8.4 MB
259 -
1.6 MB
6. Lesson 6 Set.mp4 -
8.2 MB
260 -
1.8 MB
17. Python ValueError.mp4 -
7.9 MB
261 -
63.0 KB
5. Group Bar Graphs.mp4 -
7.8 MB
262 -
162.8 KB
2. The Close Method.mp4 -
7.4 MB
263 -
627.9 KB
1. Python Hands-On Introduction.mp4 -
6.1 MB
264 -
1.9 MB
18. Pandas Pandas Groupby.mp4 -
4.5 MB
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