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Python Hands On Crash Course For Data Science 12 Projects

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Files:

1. Introduction.mp4 393.4 MB
TutsNode.com.txt 63 bytes
1. Introduction 1-en_US.srt 81.9 KB
2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 76.9 KB
Download Curriculum.html 214 bytes
3. Exploratory Data Analysis (EDA)-en_US.srt 76.7 KB
Download Datasets.html 82 bytes
3. Lab Session-en_US.srt 74.1 KB
1. Supervised Machine Learning-en_US.srt 67.2 KB
2. Lab Session-en_US.srt 64.2 KB
2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 63.6 KB
4. Lab Session 3 Building Linear Regression Model-en_US.srt 63.5 KB
14. Numpy DataFrame Introduction-en_US.srt 25.1 KB
Lecture Resources.html 198 bytes
0 14 bytes
1. Supervised Machine Learning.mp4 384.1 MB
TDS-Python-Crash-Course-Curriculum.pdf 1.2 MB
3. Lab Session 2 EDA Dealing With Categorical And Missing Values-en_US.srt 59.5 KB
1. Introduction-en_US.srt 53.0 KB
Lecture Resources.html 165 bytes
4. Lab Session 2 Exploratory Data Analysis(EDA)-en_US.srt 49.0 KB
1. Web Scraping On Wikipedia-en_US.srt 45.7 KB
3. Lab Session-en_US.srt 45.3 KB
1. Introduction-en_US.srt 44.7 KB
3. Building Amazon Auto Scraper-en_US.srt 43.1 KB
1. Analyze Your Facebook Data Live!!-en_US.srt 42.6 KB
Lesson Resources.html 179 bytes
Loading Dataset In Colab.html 1.1 KB
1. Python Hands-On Introduction-en_US.srt 1.6 KB
1. Linear Regression-en_US.srt 42.5 KB
6. Creating The Necessary Folders-en_US.srt 41.3 KB
1. Introduction-en_US.srt 39.3 KB
3. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 39.2 KB
4. Model Building-en_US.srt 38.8 KB
2. Introduction 2-en_US.srt 37.5 KB
2. PART 2 Python Tips & Tricks-en_US.srt 37.3 KB
5. Lab Session 3 Building Logistic Regression Model-en_US.srt 36.5 KB
4. Hands-On Coding Python Operators-Bitwise Operators-en_US.srt 11.0 KB
1 9 bytes
1. Web Scraping On Wikipedia.mp4 361.6 MB
Lecture Resources.html 189 bytes
1. Introduction-en_US.srt 35.3 KB
2. Applications Of A.IMachine Learning-en_US.srt 34.2 KB
2. PART 2 Book Store Web Scrapping-en_US.srt 34.1 KB
2. KNN Distance Measures-en_US.srt 33.3 KB
5. Choosing K In K-NN-en_US.srt 32.8 KB
1. Pandas Series 1-en_US.srt 30.6 KB
4. Lab Session Building KNN Model-en_US.srt 30.6 KB
8. Final Deployment-en_US.srt 30.2 KB
4. Lab Session 2 Building A Support Vector Machine (SVM) Model-en_US.srt 29.0 KB
3. Create Your First Flask App Linking HTML File-en_US.srt 26.9 KB
7. Creating Folder Contents-en_US.srt 26.7 KB
4. PART 4 Book Store Web Scrapping-en_US.srt 26.6 KB
2. Linkedin Connections Company Analysis with Python-en_US.srt 25.7 KB
1. User Define Functions-en_US.srt 19.9 KB
2 7 bytes
1. Introduction 1.mp4 359.5 MB
6. Python Hands-On Python Operators-Special Operators-en_US.srt 2.8 KB
11. Numpy Indexing & Slicing-en_US.srt 25.6 KB
1. What Is K-Means Clustering-en_US.srt 24.9 KB
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1. Introduction-en_US.srt 22.5 KB
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1. Difference Between KNN and K-Means Algorithms-en_US.srt 19.6 KB
1. Introduction To Numpy-en_US.srt 18.6 KB
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9. Pandas How To Drop Columns And Rows In Pandas DataFrame-en_US.srt 17.9 KB
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1. LIST-en_US.srt 16.0 KB
5. Misspelling, Missing and Misusing Python Keywords-en_US.srt 15.7 KB
1. Global Variable-en_US.srt 2.9 KB
8. How To Generate Calendar-en_US.srt 3.4 KB
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14. How To Handle Different Time Zones-en_US.srt 10.9 KB
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1. Automate Facebook Messenger with Python-en_US.srt 10.5 KB
5. List Comprehension In Python-en_US.srt 10.5 KB
Lecture Resources.html 189 bytes
20. Pandas Concatenate Function-en_US.srt 10.3 KB
5. Built-In Function-en_US.srt 10.4 KB
4. Writing To A File In Python-en_US.srt 10.3 KB
13. Pandas How To Check For Missing Values or Null Values(isnull() Vs Isna())-en_US.srt 10.0 KB
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5. Working With TimeDelta in Python-en_US.srt 9.4 KB
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17. DataFrame How to Get The Week and Leap Year from DataFrame-en_US.srt 8.2 KB
5. Numpy Reshape Function-en_US.srt 1.7 KB
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16. DataFrame Get Year, Month and Day from a DataFrame 2-en_US.srt 8.1 KB
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30. Folium Plot-en_US.srt 8.0 KB
20. Sunburst Interactive Plotting 1-en_US.srt 7.8 KB
41. Animated Plot With Matplotlib Code Walk Through 4-en_US.srt 7.6 KB
2. Introduction To Jupyter Notebook Code Vs Markdown Vs Raw-en_US.srt 7.6 KB
4. Time Series Analysis-en_US.srt 7.6 KB
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13. Numpy How To Create A Copy Dataset-en_US.srt 7.5 KB
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2. Raising An Exception In Python-en_US.srt 7.3 KB
5. Daily Order Analysis-en_US.srt 7.3 KB
42. Animated Plot With Matplotlib Final Output-en_US.srt 7.3 KB
28. Creating WordCloud-en_US.srt 7.3 KB
1. Python Packages and Libraries-en_US.srt 7.2 KB
10. Date and Time Formatting Using STRFTIME and STRPTIME-en_US.srt 7.2 KB
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Lecture Resources.html 52 bytes
23. Bubble Plot-en_US.srt 7.1 KB
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24. Box Plot-en_US.srt 7.0 KB
1. Introduction-en_US.srt 6.9 KB
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1. If Statement-en_US.srt 6.8 KB
8. Pandas Adding A Column To Pandas DataFrame-en_US.srt 6.8 KB
3. Hands-On Coding Import() Function In Python-en_US.srt 6.7 KB
4. Pandas DataFrame Introduction-en_US.srt 6.7 KB
15. Tree Plot-en_US.srt 6.7 KB
20. Operations on Date and Time with Dataset 2-en_US.srt 6.7 KB
12. How To Work With Timestamp-en_US.srt 6.6 KB
17. Heat Map-en_US.srt 6.6 KB
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7. Continue Statement-en_US.srt 6.4 KB
1. Getting Started With Anaconda-en_US.srt 6.4 KB
8. Python Runtime Error-en_US.srt 6.3 KB
39. Animated Plot With Matplotlib Code Walk Through 2-en_US.srt 6.3 KB
7. Lesson 7 Dictionary-en_US.srt 6.3 KB
5. Plotly Display Output In Google Colab-en_US.srt 6.3 KB
32. Multi-Variable Time Series Plot-en_US.srt 6.2 KB
2. Local Variable-en_US.srt 6.2 KB
6. Altair-en_US.srt 6.1 KB
31. Time Series Plot-en_US.srt 6.1 KB
34. 3D Plots With Plotly-en_US.srt 6.0 KB
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21. Pandas Join & Merge(Creating Dataset)-en_US.srt 5.9 KB
19. Operations on Date and Time with Dataset 1-en_US.srt 5.9 KB
10. NumpyGenerating Random Values With random.randint-en_US.srt 5.9 KB
10. Pandas How To Reset Index In Pandas Dataframe-en_US.srt 5.6 KB
5. Hands-On Coding Python Operators-Assignment Operators-en_US.srt 5.6 KB
4. Python Common Syntax Errors-en_US.srt 5.5 KB
4. Hands-On Coding Python Docstring-en_US.srt 5.5 KB
18. Pandas Pandas Groupby-en_US.srt 875 bytes
6. How To Extract Week-Day From A Given Date 1-en_US.srt 5.5 KB
1. Flask Introduction-en_US.srt 5.5 KB
9. Distplot-en_US.srt 5.4 KB
4. Plotly-en_US.srt 5.4 KB
6. Break Statement-en_US.srt 5.4 KB
4. Introduction To Jupyter Notebook Working With Code(Saving & Exporting Notebook)-en_US.srt 5.3 KB
12. Pandas Tail(), Column and Index-en_US.srt 5.2 KB
6. Pandas Selection And Indexing On Pandas DataFrame-en_US.srt 5.1 KB
17. Pandas How To Sort Values In Pandas-en_US.srt 5.0 KB
8. NumpyGenerating Random Values With random.rand-en_US.srt 4.9 KB
33. 3D Plots With Matplotlib-en_US.srt 4.9 KB
Lecture Resources.html 52 bytes
4. For loop-en_US.srt 4.9 KB
36. Animated Plot With Plotly-en_US.srt 4.8 KB
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7. How To Extract Week-Day From A Given Date 2-en_US.srt 4.8 KB
9. Zero Division Error-en_US.srt 4.7 KB
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5. The Else Clause-en_US.srt 4.7 KB
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3. Raising An AssertionError In Python-en_US.srt 4.6 KB
6. Histogram-en_US.srt 4.6 KB
3. How To Properly Read and Understand Errors In Python-en_US.srt 4.6 KB
15. DataFrame Get Year, Month and Day from a DataFrame 1-en_US.srt 4.6 KB
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15. Python KeyError-en_US.srt 4.6 KB
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18. DataFrame How to Get Age from Date-en_US.srt 4.0 KB
18. Python KeyboardInterrupt-en_US.srt 3.9 KB
9. NumpyGenerating Random Values With random.randn-en_US.srt 3.9 KB
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27. Word Cloud Overview Of Dataset-en_US.srt 3.8 KB
14. LM Plot-en_US.srt 2.9 KB
21. Operations on Date and Time with Dataset 3-en_US.srt 3.7 KB
37. Animated Plot With Matplotlib COVID 19 Dataset-en_US.srt 3.7 KB
1. Hands-On Coding Output() Function In Python-en_US.srt 3.7 KB
2. How To Extract Day, Month and Year from a given Time-en_US.srt 3.6 KB
3. The With Statement-en_US.srt 3.6 KB
18. Scatter Matrix-en_US.srt 3.6 KB
3. Lesson 3 LIST-en_US.srt 3.6 KB
3. Introduction To Jupyter Notebook Working With Text-en_US.srt 3.5 KB
40. Animated Plot With Matplotlib Code Walk Through 3-en_US.srt 3.5 KB
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6. Lesson 6 Set-en_US.srt 3.3 KB
3. The from...import Statement-en_US.srt 3.2 KB
21. Sunburst Interactive Plotting 2-en_US.srt 2.9 KB
19. Pandas Count() & Value_Count()-en_US.srt 3.2 KB
13. Python IndexError-en_US.srt 3.1 KB
3. Function With Loops-en_US.srt 3.1 KB
2. Hands-On Coding Python Operators Comparison Operators-en_US.srt 3.1 KB
38. Animated Plot With Matplotlib Code Walk Through 1-en_US.srt 3.1 KB
25. Violin Plot-en_US.srt 3.0 KB
2. Numpy Creating Multi-Dimensional Arrays-en_US.srt 3.0 KB
29. Folium Overview Of Dataset-en_US.srt 3.0 KB
35. 3D Plots With Plotly Output-en_US.srt 2.9 KB
2. Library Requests-en_US.srt 2.9 KB
4. How To Update current Date-en_US.srt 2.9 KB
11. How To Extract The Year, Month, Day Time Using STRFTIME-en_US.srt 2.8 KB
14. Python ModuleNotFoundError-en_US.srt 2.5 KB
5. Library Scrapy-en_US.srt 2.5 KB
Last Words.html 2.5 KB
16. Python ImportError-en_US.srt 2.4 KB
9. How To Format Date and Time in Python-en_US.srt 2.4 KB
1. Web Scraping Introduction-en_US.srt 2.1 KB
13. How To Convert Strings To DateTime Using STRPTIME-en_US.srt 2.1 KB
17. Python ValueError-en_US.srt 1.7 KB
4. Library Selenium-en_US.srt 1.7 KB
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3. Library BeautifulSoup-en_US.srt 1.4 KB
Introduction.html 622 bytes
[TGx]Downloaded from torrentgalaxy.to .txt 585 bytes
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Lecture Resources.html 189 bytes
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Introduction.html 175 bytes
Lecture Resources.html 112 bytes
Lecture Resources.html 90 bytes
Dataset.html 67 bytes
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2. Lab Session.mp4 311.9 MB
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2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 291.4 MB
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4. Lab Session 3 Building Linear Regression Model.mp4 276.7 MB
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2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 259.9 MB
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1. Introduction.mp4 256.7 MB
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3. Lab Session 2 EDA Dealing With Categorical And Missing Values.mp4 256.4 MB
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2. Applications Of A.IMachine Learning.mp4 253.2 MB
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3. Lab Session.mp4 240.8 MB
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1. Analyze Your Facebook Data Live!!.mp4 236.7 MB
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5. Hands-On With Flask.mp4 234.6 MB
14 1.4 MB
3. Building Amazon Auto Scraper.mp4 230.7 MB
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4. Lab Session 2 Exploratory Data Analysis(EDA).mp4 222.7 MB
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1. Introduction.mp4 218.8 MB
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4. Model Building.mp4 210.8 MB
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2. PART 2 Book Store Web Scrapping.mp4 208.1 MB
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8. Final Deployment.mp4 203.7 MB
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3. Lab Session.mp4 197.3 MB
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1. Introduction.mp4 187.0 MB
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2. KNN Distance Measures.mp4 184.2 MB
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7. Creating Folder Contents.mp4 178.6 MB
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6. Creating The Necessary Folders.mp4 178.2 MB
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1. Linear Regression.mp4 177.0 MB
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3. Lab Session 1 Exploratory Data Analysis(EDA).mp4 174.9 MB
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1. Introduction.mp4 174.8 MB
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2. PART 2 Python Tips & Tricks.mp4 169.4 MB
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3. Create Your First Flask App Linking HTML File.mp4 164.2 MB
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5. Lab Session 3 Building Logistic Regression Model.mp4 159.8 MB
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4. Lab Session 2 Building A Support Vector Machine (SVM) Model.mp4 158.7 MB
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2. Introduction 2.mp4 155.0 MB
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4. PART 4 Book Store Web Scrapping.mp4 138.9 MB
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2. Linkedin Connections Company Analysis with Python.mp4 135.9 MB
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1. Scipy.mp4 133.6 MB
36 420.0 KB
1. Pandas Series 1.mp4 133.2 MB
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5. Choosing K In K-NN.mp4 131.8 MB
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4. Create Your First Flask App Linking CSS File.mp4 125.1 MB
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14. Numpy DataFrame Introduction.mp4 124.1 MB
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11. Numpy Indexing & Slicing.mp4 120.5 MB
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1. PART 1 Python Tips & Tricks.mp4 117.2 MB
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2. PART 2 Building Amazon Auto Scraper.mp4 115.8 MB
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1. Difference Between KNN and K-Means Algorithms.mp4 114.8 MB
46 1.2 MB
1. Scikit-Learn.mp4 112.0 MB
47 2.0 MB
1. Introduction.mp4 111.1 MB
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4. Lab Session Building KNN Model.mp4 111.0 MB
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3. PART 3 Book Store Web Scrapping.mp4 110.1 MB
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1. What Is K-Means Clustering.mp4 101.2 MB
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9. Pandas How To Drop Columns And Rows In Pandas DataFrame.mp4 100.3 MB
52 1.7 MB
1. Linkedin Connection Timeline Analysis with Python.mp4 100.3 MB
53 1.7 MB
2. Hands-On With Python Keywords And Identifiers.mp4 94.2 MB
54 1.8 MB
2. Dendrograms And Cophenetic correlation.mp4 87.1 MB
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2. Dealing With Linearly Inseparable Points.mp4 81.5 MB
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1. Curriculum Video Walkthrough.mp4 81.4 MB
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2. Pandas Series 2.mp4 81.2 MB
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1. User Define Functions.mp4 81.1 MB
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1. Automate WhatsApp Messages.mp4 77.2 MB
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2. Introduction to Dataset.mp4 77.0 MB
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5. Pandas Operations On Pandas DataFrame.mp4 76.3 MB
62 1.7 MB
3. Choosing K in K-Means-The Elbow Method.mp4 75.2 MB
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22. PandasJoin.mp4 74.5 MB
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3. Linkedin Connections Position Analysis with Python.mp4 73.9 MB
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7. Pandas Reading A Dataset Into Pandas DataFrame.mp4 72.5 MB
66 1.5 MB
3. Splitting Function.mp4 71.9 MB
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3. Lab Session 1 Exploratory Data Analysis(EDA).mp4 68.7 MB
68 1.3 MB
15. Pandas Conditional Selection With Pandas.mp4 67.1 MB
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1. LIST.mp4 66.5 MB
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1. Automate Facebook Messenger with Python.mp4 62.7 MB
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14. Pandas Pandas Describe Function.mp4 62.6 MB
72 1.4 MB
4. Handling Exceptions With Try & Except.mp4 61.6 MB
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1. Introduction To Numpy.mp4 60.8 MB
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5. Misspelling, Missing and Misusing Python Keywords.mp4 59.8 MB
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4. Linkedin Connections Position Analysis(WordCloud) with Python.mp4 59.5 MB
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14. How To Handle Different Time Zones.mp4 59.0 MB
77 1.0 MB
2. Working On List.mp4 58.6 MB
78 1.4 MB
1. PART 1 Book Store Web Scrapping.mp4 57.6 MB
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4. Writing To A File In Python.mp4 57.3 MB
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11. Pandas How To Rename A Column In Pandas Dataframe.mp4 56.7 MB
81 1.3 MB
2. Difference between Regression And Correlation.mp4 56.0 MB
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1. Python Files.mp4 55.0 MB
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30. Folium Plot.mp4 53.4 MB
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4. Range In Python.mp4 52.3 MB
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23. Pandas Merge.mp4 52.3 MB
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5. Hands-On Coding Python Variables.mp4 51.8 MB
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3. Drawing Insights From Data.mp4 50.7 MB
88 1.3 MB
1. Flask Introduction.mp4 50.3 MB
89 1.7 MB
2. Hands-On Coding Input() Function In Python.mp4 49.7 MB
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20. Sunburst Interactive Plotting 1.mp4 49.7 MB
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7. Numpy Resize Function.mp4 48.9 MB
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41. Animated Plot With Matplotlib Code Walk Through 4.mp4 48.0 MB
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4. Lambda Function.mp4 47.8 MB
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3. Hands-On Code Python Comments.mp4 47.0 MB
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20. Pandas Concatenate Function.mp4 46.2 MB
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3. Hands-On Coding Python Operators Logical Operators.mp4 45.6 MB
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4. Pandas DataFrame Introduction.mp4 45.2 MB
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15. Numpy Creating Matrix.mp4 44.6 MB
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42. Animated Plot With Matplotlib Final Output.mp4 44.0 MB
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4. Time Series Analysis.mp4 43.4 MB
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2. Data Cleaning.mp4 43.3 MB
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16. Pandas How To Deal With Null Values.mp4 43.3 MB
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13. Pandas How To Check For Missing Values or Null Values(isnull() Vs Isna()).mp4 43.2 MB
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28. Creating WordCloud.mp4 43.1 MB
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2. Python Syntax Errors.mp4 42.8 MB
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6. Hands-On Coding Rules and Naming Conventions for Python Variables.mp4 42.5 MB
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6. Monthly Order Analysis.mp4 42.4 MB
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8. Pandas Adding A Column To Pandas DataFrame.mp4 42.0 MB
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5. List Comprehension In Python.mp4 41.7 MB
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4. Hands-On Coding Python Operators-Bitwise Operators.mp4 41.5 MB
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3. Pandas Loc & iLoc.mp4 41.1 MB
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11. Operator Errors In Python.mp4 40.8 MB
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2. PIP Install Python Libraries.mp4 39.5 MB
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32. Multi-Variable Time Series Plot.mp4 39.3 MB
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1. Python Modules.mp4 38.6 MB
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5. Daily Order Analysis.mp4 38.1 MB
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34. 3D Plots With Plotly.mp4 37.6 MB
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17. DataFrame How to Get The Week and Leap Year from DataFrame.mp4 37.6 MB
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2. Introduction To Google Colab Working With Text.mp4 37.4 MB
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12. How To Work With Timestamp.mp4 37.3 MB
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10. Date and Time Formatting Using STRFTIME and STRPTIME.mp4 37.1 MB
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1. Introduction To Google Colab Overview.mp4 35.8 MB
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3. Numpy Arange Function.mp4 35.5 MB
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1. Introduction.mp4 34.9 MB
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6. The Finally Clause.mp4 34.8 MB
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2. Arbitrary Arguments.mp4 34.6 MB
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12. Logical Errors In Python.mp4 34.4 MB
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3. ELif Statement.mp4 34.2 MB
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10. Pandas How To Reset Index In Pandas Dataframe.mp4 34.1 MB
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5. Working With TimeDelta in Python.mp4 33.9 MB
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36. Animated Plot With Plotly.mp4 33.0 MB
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1. Exception Handling Introduction.mp4 32.7 MB
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39. Animated Plot With Matplotlib Code Walk Through 2.mp4 32.6 MB
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23. Bubble Plot.mp4 32.1 MB
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13. Numpy How To Create A Copy Dataset.mp4 31.0 MB
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1. Python Packages and Libraries.mp4 31.0 MB
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2. Raising An Exception In Python.mp4 30.8 MB
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35. 3D Plots With Plotly Output.mp4 30.8 MB
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6. How To Extract Week-Day From A Given Date 1.mp4 30.7 MB
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8. Python Runtime Error.mp4 30.5 MB
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15. Tree Plot.mp4 30.3 MB
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4. Numpy Zeros, Ones and Eye functions.mp4 30.1 MB
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6. Altair.mp4 29.8 MB
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7. ggplot.mp4 29.1 MB
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6. Missing Parentheses, Brackets and Quotes.mp4 29.1 MB
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5. Built-In Function.mp4 28.6 MB
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1. Python Error Handling Introduction.mp4 28.4 MB
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24. Box Plot.mp4 28.4 MB
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3. Hands-On Coding Import() Function In Python.mp4 28.2 MB
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1. Introduction.mp4 27.4 MB
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10. Searching On Stack Overflow.mp4 27.2 MB
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1. Getting Started With Anaconda.mp4 27.0 MB
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21. Pandas Join & Merge(Creating Dataset).mp4 26.7 MB
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3. Introduction To Google Colab Saving & Exporting Notebook.mp4 26.5 MB
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27. Word Cloud Overview Of Dataset.mp4 26.4 MB
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2. Local Variable.mp4 26.3 MB
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16. DataFrame Get Year, Month and Day from a DataFrame 2.mp4 26.2 MB
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19. Operations on Date and Time with Dataset 1.mp4 26.1 MB
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31. Time Series Plot.mp4 25.9 MB
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26. Wind Rose Chart.mp4 25.3 MB
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17. Heat Map.mp4 25.2 MB
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6. Pandas Selection And Indexing On Pandas DataFrame.mp4 25.2 MB
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10. Bivariate and Multivariate Distplot.mp4 25.0 MB
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3. How To Properly Read and Understand Errors In Python.mp4 24.6 MB
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20. Operations on Date and Time with Dataset 2.mp4 24.4 MB
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7. How To Extract Week-Day From A Given Date 2.mp4 24.0 MB
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4. Plotly.mp4 24.0 MB
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4. Lesson 4 Tuple & List Mutability.mp4 23.9 MB
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4. Introduction To Jupyter Notebook Working With Code(Saving & Exporting Notebook).mp4 23.9 MB
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21. Sunburst Interactive Plotting 2.mp4 23.8 MB
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10. NumpyGenerating Random Values With random.randint.mp4 23.3 MB
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5. Plotly Display Output In Google Colab.mp4 23.2 MB
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22. Funnel Plot.mp4 23.0 MB
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19. Sunburst.mp4 23.0 MB
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5. While loop.mp4 22.8 MB
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18. Scatter Matrix.mp4 22.7 MB
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4. Hands-On Coding Python Docstring.mp4 22.6 MB
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5. The Else Clause.mp4 22.5 MB
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2. Plotting Bar Graphs.mp4 22.2 MB
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9. Zero Division Error.mp4 21.9 MB
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9. Distplot.mp4 21.9 MB
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18. Python KeyboardInterrupt.mp4 21.4 MB
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1. If Statement.mp4 21.3 MB
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5. Hands-On Coding Python Operators-Assignment Operators.mp4 21.1 MB
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12. Pandas Tail(), Column and Index.mp4 20.9 MB
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37. Animated Plot With Matplotlib COVID 19 Dataset.mp4 20.7 MB
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40. Animated Plot With Matplotlib Code Walk Through 3.mp4 20.6 MB
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33. 3D Plots With Matplotlib.mp4 20.3 MB
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5. Library Scrapy.mp4 20.3 MB
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19. Pandas Count() & Value_Count().mp4 20.3 MB
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2. Introduction To Jupyter Notebook Code Vs Markdown Vs Raw.mp4 20.3 MB
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6. Numpy Linspace.mp4 19.4 MB
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4. Python Common Syntax Errors.mp4 19.3 MB
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16. Pie Chart.mp4 19.0 MB
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38. Animated Plot With Matplotlib Code Walk Through 1.mp4 18.8 MB
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1. Bar Graph Dataset Overview.mp4 18.7 MB
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17. Pandas How To Sort Values In Pandas.mp4 18.6 MB
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15. DataFrame Get Year, Month and Day from a DataFrame 1.mp4 18.6 MB
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3. The With Statement.mp4 18.4 MB
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5. Lesson 5 Tuple Immutability.mp4 18.1 MB
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21. Operations on Date and Time with Dataset 3.mp4 18.1 MB
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9. NumpyGenerating Random Values With random.randn.mp4 17.9 MB
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7. Lesson 7 Dictionary.mp4 17.6 MB
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7. Indentation Error.mp4 17.5 MB
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7. Hands-On Coding Python Operators-Membership Operators.mp4 17.5 MB
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6. Histogram.mp4 17.5 MB
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2. How To Extract Day, Month and Year from a given Time.mp4 17.4 MB
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7. Continue Statement.mp4 17.3 MB
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29. Folium Overview Of Dataset.mp4 17.1 MB
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4. For loop.mp4 16.9 MB
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2. Library Requests.mp4 16.6 MB
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3. Seaborn.mp4 16.4 MB
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8. NumpyGenerating Random Values With random.rand.mp4 16.3 MB
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2. Matplotlib.mp4 16.0 MB
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6. Break Statement.mp4 15.8 MB
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18. DataFrame How to Get Age from Date.mp4 15.7 MB
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1. Flask Introduction.mp4 15.6 MB
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12. Scatter Plot.mp4 15.5 MB
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3. Function With Loops.mp4 15.3 MB
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15. Python KeyError.mp4 15.3 MB
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1. Hands-On Coding Python Operators-Arithmetic Operators.mp4 15.1 MB
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3. Raising An AssertionError In Python.mp4 15.1 MB
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3. The from...import Statement.mp4 14.7 MB
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8. Facet Histogram.mp4 14.4 MB
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8. How To Generate Calendar.mp4 14.3 MB
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3. How to Extract Hours, Minutes, Seconds and Micro-seconds from a given Time.mp4 14.2 MB
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11. How To Extract The Year, Month, Day Time Using STRFTIME.mp4 14.2 MB
228 1.8 MB
1. Lesson 1 Integer & Floating Point Numbers.mp4 14.1 MB
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2. Lesson 2 Complex Numbers & Strings.mp4 14.0 MB
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13. Relplot.mp4 13.8 MB
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2. If...Else Statement.mp4 12.6 MB
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16. Python ImportError.mp4 12.4 MB
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2. Hands-On Coding Python Operators Comparison Operators.mp4 12.2 MB
234 1.8 MB
1. Part 1 Building Amazon Web Scraper.mp4 12.0 MB
235 2.0 MB
12. Numpy Broadcasting.mp4 12.0 MB
236 2.0 MB
14. Python ModuleNotFoundError.mp4 12.0 MB
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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
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13. Python IndexError.mp4 11.5 MB
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4. Library Selenium.mp4 11.5 MB
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4. Stacked Bar Graphs.mp4 11.3 MB
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25. Violin Plot.mp4 11.3 MB
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1. Global Variable.mp4 11.0 MB
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4. How To Update current Date.mp4 10.6 MB
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1. Web Scraping Introduction.mp4 10.5 MB
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5. Numpy Reshape Function.mp4 10.1 MB
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14. LM Plot.mp4 10.0 MB
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3. Horizontal Bar Graphs.mp4 10.0 MB
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2. Numpy Creating Multi-Dimensional Arrays.mp4 9.8 MB
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6. Python Hands-On Python Operators-Special Operators.mp4 9.8 MB
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7. Marginal Histogram.mp4 9.6 MB
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3. Lesson 3 LIST.mp4 9.6 MB
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13. How To Convert Strings To DateTime Using STRPTIME.mp4 9.6 MB
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2. Create Your First Flask App.mp4 9.5 MB
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3. Introduction To Jupyter Notebook Working With Text.mp4 9.1 MB
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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
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5. Group Bar Graphs.mp4 7.8 MB
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2. The Close Method.mp4 7.4 MB
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1. Python Hands-On Introduction.mp4 6.1 MB
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18. Pandas Pandas Groupby.mp4 4.5 MB

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