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[FreeCourseSite.com] Udemy - Data Visualization in Python Masterclass™ Beginners to Pro

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[FreeCourseSite.com] Udemy - Data Visualization in Python Masterclass™ Beginners to Pro

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文件列表

  • 10. Analysis and Visualization of Boston Housing Data/8. Pair Plot.mp4 92.0 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/3. Data Cleaning.mp4 86.6 MB
  • 6. Matplotlib/15. Integral in Calculus Plot as Area Under the Curve.mp4 83.6 MB
  • 10. Analysis and Visualization of Boston Housing Data/11. Heatmap.mp4 83.3 MB
  • 1. Introduction/7. Anaconda Installation for Mac OS.mp4 75.2 MB
  • 14. Analysis and Visualization of IPL Cricket Matches/4. Wins and Lost Matches Analysis.mp4 73.2 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/7. Goals Per Team Per Word Cup.mp4 70.2 MB
  • 6. Matplotlib/11. Labeling a Pie Plot.mp4 70.1 MB
  • 12. Analysis and Visualization of Covid-19 Data/37. Covid-19 vs Other Epidemics.mp4 67.5 MB
  • 14. Analysis and Visualization of IPL Cricket Matches/8. Ball by Ball Analysis.mp4 64.0 MB
  • 14. Analysis and Visualization of IPL Cricket Matches/2. About Cricket Matches and Package Import.mp4 62.4 MB
  • 5. Data Visualization with Pandas/10. Hex and Pie Plot.mp4 62.3 MB
  • 12. Analysis and Visualization of Covid-19 Data/25. Scatter Plot for Deaths vs Confirmed Cases.mp4 62.3 MB
  • 6. Matplotlib/10. Nested Pie Plot.mp4 62.3 MB
  • 12. Analysis and Visualization of Covid-19 Data/35. First and Last Case Report Time Part 3.mp4 61.5 MB
  • 1. Introduction/3.1 DataVisualization.zip 60.1 MB
  • 5. Data Visualization with Pandas/3. Line Plot.mp4 60.0 MB
  • 3. NumPy Crash Course/7. Sequence, Repetitions, and Random Numbers.mp4 60.0 MB
  • 13. Analysis and Visualization of Reviews Text Data/12. Distribution of Unigram, Bigram and Trigram without STOP WORDS.mp4 59.7 MB
  • 12. Analysis and Visualization of Covid-19 Data/36. Confirmed Cases by Country and Daywise.mp4 59.3 MB
  • 12. Analysis and Visualization of Covid-19 Data/12. Covid-19 Cases on Folium Map.mp4 58.1 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/8. Matches with Highest Number of Attendance.mp4 55.8 MB
  • 12. Analysis and Visualization of Covid-19 Data/23. Top 15 Countries Case Analysis Part 5.mp4 55.5 MB
  • 12. Analysis and Visualization of Covid-19 Data/28. Growth Rate After 100 Cases.mp4 55.5 MB
  • 5. Data Visualization with Pandas/7. Histogram.mp4 55.3 MB
  • 13. Analysis and Visualization of Reviews Text Data/11. Distribution of Unigram, Bigram and Trigram Part 2.mp4 55.0 MB
  • 10. Analysis and Visualization of Boston Housing Data/4. Data Deep Dive.mp4 52.4 MB
  • 13. Analysis and Visualization of Reviews Text Data/4. Data Cleaning.mp4 52.4 MB
  • 13. Analysis and Visualization of Reviews Text Data/10. Distribution of Unigram, Bigram and Trigram Part 1.mp4 51.4 MB
  • 13. Analysis and Visualization of Reviews Text Data/14. Bivariate Analysis Part 1.mp4 50.5 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/6. Attendance, Number of Teams, Goals, and Matches per Cup.mp4 50.4 MB
  • 8. Seaborn/6. Line Plot Part 2.mp4 50.1 MB
  • 14. Analysis and Visualization of IPL Cricket Matches/6. MI vs CSK Head to Head Matches.mp4 50.0 MB
  • 6. Matplotlib/12. Bar Chart on Polar Axis.mp4 49.7 MB
  • 5. Data Visualization with Pandas/9. Area and Scatter Plot.mp4 49.1 MB
  • 12. Analysis and Visualization of Covid-19 Data/20. Top 15 Countries Case Analysis Part 2.mp4 47.7 MB
  • 12. Analysis and Visualization of Covid-19 Data/22. Top 15 Countries Case Analysis Part 4.mp4 47.4 MB
  • 12. Analysis and Visualization of Covid-19 Data/8. Cases Timelaps on Worldmap.mp4 46.3 MB
  • 6. Matplotlib/2. Line Plot.mp4 46.1 MB
  • 1. Introduction/5. Course Overview.mp4 46.1 MB
  • 6. Matplotlib/17. Animation Plot Part 2.mp4 46.0 MB
  • 9. Plotly and Cufflinks/9. Bubble Plot and Heatmap.mp4 45.3 MB
  • 10. Analysis and Visualization of Boston Housing Data/10. Scatter Plot.mp4 45.1 MB
  • 4. Pandas Crash Course/3. File Reading and Writing.mp4 45.0 MB
  • 7. Time Series Plots/3. Subplots.mp4 44.9 MB
  • 13. Analysis and Visualization of Reviews Text Data/3. Data Import.mp4 44.6 MB
  • 5. Data Visualization with Pandas/11. Scatter Matrix and Subplots.mp4 44.4 MB
  • 6. Matplotlib/8. Pie Plot.mp4 43.9 MB
  • 13. Analysis and Visualization of Reviews Text Data/13. Distribution of Top 20 Parts-of-Speech POS tags.mp4 43.4 MB
  • 6. Matplotlib/7. xlim, ylim, xticks, and yticks.mp4 43.4 MB
  • 3. NumPy Crash Course/2. Array.mp4 43.0 MB
  • 11. Analysis and Visualization of Titanic Dataset/17. Age Part 4.mp4 42.8 MB
  • 12. Analysis and Visualization of Covid-19 Data/9. Total Cases on Ships.mp4 42.2 MB
  • 12. Analysis and Visualization of Covid-19 Data/21. Top 15 Countries Case Analysis Part 3.mp4 41.9 MB
  • 8. Seaborn/7. Line Plot Part 3.mp4 41.8 MB
  • 6. Matplotlib/6. Subplot.mp4 41.5 MB
  • 13. Analysis and Visualization of Reviews Text Data/5. Feature Engineering.mp4 41.4 MB
  • 10. Analysis and Visualization of Boston Housing Data/18. Linear Regression without ML Part 2.mp4 41.4 MB
  • 12. Analysis and Visualization of Covid-19 Data/1. Introduction.mp4 41.4 MB
  • 12. Analysis and Visualization of Covid-19 Data/26. Stacked Bar Plot.mp4 41.2 MB
  • 10. Analysis and Visualization of Boston Housing Data/7. Plot Styling.mp4 41.1 MB
  • 13. Analysis and Visualization of Reviews Text Data/15. Bivariate Analysis Part 2.mp4 40.9 MB
  • 10. Analysis and Visualization of Boston Housing Data/5. pd.describe().mp4 40.4 MB
  • 10. Analysis and Visualization of Boston Housing Data/13. Heatmap and Pair Plot of Correlated Data.mp4 40.3 MB
  • 11. Analysis and Visualization of Titanic Dataset/5. Univariate Analysis.mp4 40.3 MB
  • 10. Analysis and Visualization of Boston Housing Data/12. Correlated Feature Selection.mp4 40.1 MB
  • 10. Analysis and Visualization of Boston Housing Data/14. Box and Rel Plot.mp4 39.4 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/9. Stadiums with Highest Average Attendance.mp4 39.1 MB
  • 12. Analysis and Visualization of Covid-19 Data/7. Scatter Plot for Confirmed Cases.mp4 39.0 MB
  • 12. Analysis and Visualization of Covid-19 Data/5. Import Cleaned Covid-19 Dataset.mp4 38.9 MB
  • 12. Analysis and Visualization of Covid-19 Data/15. Confirmed and Death Cases with Colormap.mp4 38.5 MB
  • 12. Analysis and Visualization of Covid-19 Data/17. New Cases and Countries per Day.mp4 37.8 MB
  • 5. Data Visualization with Pandas/2. Data Generation.mp4 37.8 MB
  • 12. Analysis and Visualization of Covid-19 Data/13. Confirmed Cases with Animation.mp4 37.6 MB
  • 13. Analysis and Visualization of Reviews Text Data/9. Distribution of Department, Division, and Class.mp4 37.3 MB
  • 1. Introduction/6. Anaconda Installation for Windows OS.mp4 36.8 MB
  • 12. Analysis and Visualization of Covid-19 Data/16. Deaths per 100 Cases.mp4 35.8 MB
  • 14. Analysis and Visualization of IPL Cricket Matches/5. MoM, City and Venue wise Analysis.mp4 35.7 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/10. Match Outcomes by Home and Away Teams.mp4 35.4 MB
  • 12. Analysis and Visualization of Covid-19 Data/11. Cases Over the Time with Area Plot Part 2.mp4 35.4 MB
  • 7. Time Series Plots/2. Line and Scatter Plots.mp4 35.3 MB
  • 12. Analysis and Visualization of Covid-19 Data/6. Import Preprocessed Data.mp4 35.3 MB
  • 7. Time Series Plots/1. Dataset Loading.mp4 34.9 MB
  • 3. NumPy Crash Course/3. NaN and INF.mp4 34.6 MB
  • 6. Matplotlib/13. Line Plot on a Polar Axis.mp4 34.4 MB
  • 12. Analysis and Visualization of Covid-19 Data/10. Cases Over the Time with Area Plot Part 1.mp4 34.0 MB
  • 11. Analysis and Visualization of Titanic Dataset/3. Load Dataset.mp4 33.9 MB
  • 10. Analysis and Visualization of Boston Housing Data/3. Data Preparation.mp4 33.4 MB
  • 14. Analysis and Visualization of IPL Cricket Matches/3. Data Understanding.mp4 33.2 MB
  • 10. Analysis and Visualization of Boston Housing Data/9. Distribution Plot.mp4 32.6 MB
  • 8. Seaborn/19. Controlling Plotted Figure Aesthetics.mp4 31.7 MB
  • 6. Matplotlib/4. Scatter, Bar, and Hist Plots.mp4 31.6 MB
  • 8. Seaborn/8. Subplot.mp4 31.2 MB
  • 10. Analysis and Visualization of Boston Housing Data/16. Joint Plot Part 2.mp4 31.2 MB
  • 16. Python Coding in Mobile/5. Seaborn Coding in Mobile.mp4 31.1 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/2. FIFA World Cup Data Import.mp4 30.7 MB
  • 12. Analysis and Visualization of Covid-19 Data/19. Top 15 Countries Case Analysis Part 1.mp4 30.5 MB
  • 12. Analysis and Visualization of Covid-19 Data/2. Data Understanding.mp4 30.5 MB
  • 13. Analysis and Visualization of Reviews Text Data/2. Getting Started.mp4 30.4 MB
  • 4. Pandas Crash Course/6. NaN and Null Values.mp4 30.2 MB
  • 6. Matplotlib/14. Scatter Plot on a Polar Axis.mp4 30.2 MB
  • 11. Analysis and Visualization of Titanic Dataset/1. Introduction.mp4 30.1 MB
  • 10. Analysis and Visualization of Boston Housing Data/17. Linear Regression without ML Part 1.mp4 29.9 MB
  • 8. Seaborn/13. Violin Plot.mp4 29.7 MB
  • 2. Python Crash Course/4. String.mp4 29.7 MB
  • 3. NumPy Crash Course/9. File Read and Write.mp4 29.5 MB
  • 1. Introduction/9. Jupyter Notebook Keyboard Shortcuts.mp4 29.2 MB
  • 9. Plotly and Cufflinks/2. Installation and Setup.mp4 28.6 MB
  • 11. Analysis and Visualization of Titanic Dataset/8. Pclass Part 2.mp4 28.2 MB
  • 5. Data Visualization with Pandas/5. Bar Plot.mp4 28.1 MB
  • 11. Analysis and Visualization of Titanic Dataset/4. Heatmap.mp4 27.9 MB
  • 8. Seaborn/9. sns.lineplot(), sns.scatterplot().mp4 27.7 MB
  • 9. Plotly and Cufflinks/5. Bar Plot.mp4 27.4 MB
  • 8. Seaborn/10. Cat Plot.mp4 27.3 MB
  • 8. Seaborn/4. Hue, Style and Size Part 2.mp4 26.7 MB
  • 13. Analysis and Visualization of Reviews Text Data/8. Distribution of Review Text Length and Word Length.mp4 26.3 MB
  • 9. Plotly and Cufflinks/7. 3D Plot.mp4 26.3 MB
  • 11. Analysis and Visualization of Titanic Dataset/26. Parch Part 1.mp4 26.2 MB
  • 12. Analysis and Visualization of Covid-19 Data/14. Confirmed and Death Cases with Bar Plot.mp4 25.9 MB
  • 5. Data Visualization with Pandas/4. More on Line Plot.mp4 25.8 MB
  • 10. Analysis and Visualization of Boston Housing Data/6. Bar Plot.mp4 25.7 MB
  • 1. Introduction/1. Welcome.mp4 25.7 MB
  • 9. Plotly and Cufflinks/3. Line Plot.mp4 25.6 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/4. Most Number of World Cup Winning Title.mp4 25.4 MB
  • 12. Analysis and Visualization of Covid-19 Data/33. First and Last Case Report Time Part 1.mp4 25.2 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/5. Number of Goal Per Country.mp4 24.6 MB
  • 11. Analysis and Visualization of Titanic Dataset/20. Fare Part 3.mp4 24.5 MB
  • 16. Python Coding in Mobile/4. Pandas Coding in Mobile.mp4 24.2 MB
  • 12. Analysis and Visualization of Covid-19 Data/4. Clone Latest Covid-19 Dataset.mp4 24.1 MB
  • 11. Analysis and Visualization of Titanic Dataset/14. Age Part 1.mp4 24.1 MB
  • 13. Analysis and Visualization of Reviews Text Data/6. Distribution of Sentiment Polarity.mp4 24.1 MB
  • 13. Analysis and Visualization of Reviews Text Data/1. Introduction.mp4 24.0 MB
  • 4. Pandas Crash Course/4. Info, Shape, Duplicated, and Drop.mp4 24.0 MB
  • 11. Analysis and Visualization of Titanic Dataset/29. Who.mp4 24.0 MB
  • 8. Seaborn/17. Pair Plot.mp4 23.9 MB
  • 11. Analysis and Visualization of Titanic Dataset/28. Embarked.mp4 23.8 MB
  • 1. Introduction/8. Anaconda Installation on Ubuntu OS.mp4 23.5 MB
  • 13. Analysis and Visualization of Reviews Text Data/16. Bivariate Analysis Part 3.mp4 23.5 MB
  • 5. Data Visualization with Pandas/8. Box Plot.mp4 23.2 MB
  • 12. Analysis and Visualization of Covid-19 Data/32. Tree Map Analysis.mp4 23.1 MB
  • 12. Analysis and Visualization of Covid-19 Data/3. Import Packages.mp4 23.0 MB
  • 2. Python Crash Course/14. For and While Loops in Python.mp4 23.0 MB
  • 11. Analysis and Visualization of Titanic Dataset/12. Sex Part 4.mp4 22.7 MB
  • 5. Data Visualization with Pandas/6. Stacked Plot.mp4 22.7 MB
  • 16. Python Coding in Mobile/1. Introduction.mp4 22.6 MB
  • 12. Analysis and Visualization of Covid-19 Data/24. Save Figures in PNG, JPEG, and PDF.mp4 22.5 MB
  • 12. Analysis and Visualization of Covid-19 Data/34. First and Last Case Report Time Part 2.mp4 22.4 MB
  • 4. Pandas Crash Course/7. Imputation.mp4 22.3 MB
  • 16. Python Coding in Mobile/3. Matplotlib Plot in Mobile.mp4 22.2 MB
  • 10. Analysis and Visualization of Boston Housing Data/15. Joint Plot Part 1.mp4 22.2 MB
  • 11. Analysis and Visualization of Titanic Dataset/21. Fare Part 4.mp4 22.1 MB
  • 11. Analysis and Visualization of Titanic Dataset/2. Data Understanding.mp4 22.0 MB
  • 10. Analysis and Visualization of Boston Housing Data/1. Introduction.mp4 21.9 MB
  • 8. Seaborn/2. Scatter Plot.mp4 21.7 MB
  • 11. Analysis and Visualization of Titanic Dataset/6. Survived.mp4 21.5 MB
  • 2. Python Crash Course/2. Data Types Numbers.mp4 21.5 MB
  • 14. Analysis and Visualization of IPL Cricket Matches/7. Seasonwise Analysis.mp4 20.7 MB
  • 8. Seaborn/12. Boxen Plot.mp4 20.2 MB
  • 11. Analysis and Visualization of Titanic Dataset/15. Age Part 2.mp4 19.9 MB
  • 2. Python Crash Course/13. Conditional Statements If Else and Elif.mp4 19.8 MB
  • 11. Analysis and Visualization of Titanic Dataset/9. Sex Part 1.mp4 19.7 MB
  • 3. NumPy Crash Course/8. Where.mp4 19.5 MB
  • 11. Analysis and Visualization of Titanic Dataset/16. Age Part 3.mp4 19.5 MB
  • 6. Matplotlib/5. Box Plot.mp4 19.1 MB
  • 13. Analysis and Visualization of Reviews Text Data/7. Distribution of Reviews Rating and Reviewers Age.mp4 19.1 MB
  • 11. Analysis and Visualization of Titanic Dataset/27. Parch Part 2.mp4 19.1 MB
  • 4. Pandas Crash Course/8. Lambda Function.mp4 18.7 MB
  • 6. Matplotlib/1. Introduction.mp4 18.4 MB
  • 6. Matplotlib/9. Pie Plot Text Color.mp4 18.3 MB
  • 11. Analysis and Visualization of Titanic Dataset/22. Sibsp Part 1.mp4 18.0 MB
  • 6. Matplotlib/16. Animation Plot Part 1.mp4 17.5 MB
  • 4. Pandas Crash Course/2. DataFrame and Series.mp4 17.4 MB
  • 2. Python Crash Course/3. Variable Assignment.mp4 17.2 MB
  • 8. Seaborn/5. Line Plot Part 1.mp4 17.2 MB
  • 11. Analysis and Visualization of Titanic Dataset/25. Sibsp Part 4.mp4 17.1 MB
  • 2. Python Crash Course/15. Methods and Lambda Functions.mp4 16.9 MB
  • 3. NumPy Crash Course/10. Concatenate and Sorting.mp4 16.9 MB
  • 14. Analysis and Visualization of IPL Cricket Matches/1. Introduction.mp4 16.8 MB
  • 8. Seaborn/14. Bar Plot.mp4 16.7 MB
  • 7. Time Series Plots/4. Heatmap.mp4 16.6 MB
  • 11. Analysis and Visualization of Titanic Dataset/18. Fare Part 1.mp4 16.6 MB
  • 12. Analysis and Visualization of Covid-19 Data/27. Stacked Line Plot.mp4 16.4 MB
  • 3. NumPy Crash Course/4. Statistical Operations.mp4 15.9 MB
  • 11. Analysis and Visualization of Titanic Dataset/11. Sex Part 3.mp4 14.5 MB
  • 8. Seaborn/1. Introduction.mp4 14.4 MB
  • 12. Analysis and Visualization of Covid-19 Data/30. Growth Rate After 10000 Cases.mp4 14.3 MB
  • 3. NumPy Crash Course/11. Working with Dates.mp4 13.9 MB
  • 2. Python Crash Course/9. Dictionary.mp4 13.8 MB
  • 15. Analysis and Visualization of FIFA World Cup Matches/1. Introduction.mp4 13.7 MB
  • 11. Analysis and Visualization of Titanic Dataset/10. Sex Part 2.mp4 13.7 MB
  • 7. Time Series Plots/5. Histogram and KDE Plots.mp4 13.6 MB
  • 2. Python Crash Course/6. List.mp4 13.4 MB
  • 11. Analysis and Visualization of Titanic Dataset/24. Sibsp Part 3.mp4 13.3 MB
  • 12. Analysis and Visualization of Covid-19 Data/29. Growth Rate After 1000 Cases.mp4 13.3 MB
  • 2. Python Crash Course/12. Logical Operator.mp4 13.2 MB
  • 16. Python Coding in Mobile/2. Python in Mobile.mp4 13.0 MB
  • 8. Seaborn/18. Regression Plot.mp4 12.9 MB
  • 11. Analysis and Visualization of Titanic Dataset/23. Sibsp Part 2.mp4 12.5 MB
  • 9. Plotly and Cufflinks/8. Spread Plot and Hist Plot.mp4 12.3 MB
  • 2. Python Crash Course/7. Set.mp4 12.0 MB
  • 12. Analysis and Visualization of Covid-19 Data/31. Growth Rate After 100k Cases.mp4 12.0 MB
  • 3. NumPy Crash Course/5. Shape, Reshape, Ravel, Flatten.mp4 11.9 MB
  • 4. Pandas Crash Course/5. Columns.mp4 11.8 MB
  • 5. Data Visualization with Pandas/1. Introduction.mp4 11.6 MB
  • 11. Analysis and Visualization of Titanic Dataset/7. Pclass Part 1.mp4 11.5 MB
  • 8. Seaborn/16. Joint Plot.mp4 11.3 MB
  • 11. Analysis and Visualization of Titanic Dataset/19. Fare Part 2.mp4 10.9 MB
  • 2. Python Crash Course/11. Boolean and Comparison Operator.mp4 10.7 MB
  • 8. Seaborn/3. Hue, Style and Size Part 1.mp4 10.7 MB
  • 8. Seaborn/11. Box Plot.mp4 10.5 MB
  • 9. Plotly and Cufflinks/4. Scatter Plot.mp4 10.2 MB
  • 11. Analysis and Visualization of Titanic Dataset/13. Sex Part 5.mp4 9.7 MB
  • 9. Plotly and Cufflinks/6. Box Plot and Area Plot.mp4 9.6 MB
  • 2. Python Crash Course/1. Introduction.mp4 9.5 MB
  • 3. NumPy Crash Course/1. Introduction.mp4 9.3 MB
  • 2. Python Crash Course/8. Tuple.mp4 9.3 MB
  • 8. Seaborn/15. Point Plot.mp4 9.2 MB
  • 9. Plotly and Cufflinks/1. Introduction.mp4 8.9 MB
  • 4. Pandas Crash Course/1. Introduction.mp4 7.7 MB
  • 6. Matplotlib/3. Label.mp4 5.5 MB
  • 6. Matplotlib/15. Integral in Calculus Plot as Area Under the Curve.srt 22.7 kB
  • 6. Matplotlib/11. Labeling a Pie Plot.srt 21.9 kB
  • 15. Analysis and Visualization of FIFA World Cup Matches/7. Goals Per Team Per Word Cup.srt 19.1 kB
  • 6. Matplotlib/10. Nested Pie Plot.srt 18.9 kB
  • 15. Analysis and Visualization of FIFA World Cup Matches/3. Data Cleaning.srt 16.8 kB
  • 13. Analysis and Visualization of Reviews Text Data/10. Distribution of Unigram, Bigram and Trigram Part 1.srt 15.7 kB
  • 15. Analysis and Visualization of FIFA World Cup Matches/8. Matches with Highest Number of Attendance.srt 15.1 kB
  • 14. Analysis and Visualization of IPL Cricket Matches/8. Ball by Ball Analysis.srt 14.6 kB
  • 6. Matplotlib/12. Bar Chart on Polar Axis.srt 14.5 kB
  • 6. Matplotlib/8. Pie Plot.srt 14.5 kB
  • 3. NumPy Crash Course/7. Sequence, Repetitions, and Random Numbers.srt 14.5 kB
  • 14. Analysis and Visualization of IPL Cricket Matches/4. Wins and Lost Matches Analysis.srt 13.3 kB
  • 14. Analysis and Visualization of IPL Cricket Matches/6. MI vs CSK Head to Head Matches.srt 13.1 kB
  • 12. Analysis and Visualization of Covid-19 Data/35. First and Last Case Report Time Part 3.srt 12.9 kB
  • 10. Analysis and Visualization of Boston Housing Data/11. Heatmap.srt 12.9 kB
  • 7. Time Series Plots/3. Subplots.srt 12.7 kB
  • 15. Analysis and Visualization of FIFA World Cup Matches/6. Attendance, Number of Teams, Goals, and Matches per Cup.srt 12.6 kB
  • 5. Data Visualization with Pandas/10. Hex and Pie Plot.srt 12.4 kB
  • 3. NumPy Crash Course/2. Array.srt 12.2 kB
  • 10. Analysis and Visualization of Boston Housing Data/8. Pair Plot.srt 12.1 kB
  • 6. Matplotlib/6. Subplot.srt 11.8 kB
  • 1. Introduction/9. Jupyter Notebook Keyboard Shortcuts.srt 11.6 kB
  • 13. Analysis and Visualization of Reviews Text Data/5. Feature Engineering.srt 11.4 kB
  • 6. Matplotlib/4. Scatter, Bar, and Hist Plots.srt 11.3 kB
  • 12. Analysis and Visualization of Covid-19 Data/37. Covid-19 vs Other Epidemics.srt 11.3 kB
  • 15. Analysis and Visualization of FIFA World Cup Matches/10. Match Outcomes by Home and Away Teams.srt 11.2 kB
  • 7. Time Series Plots/1. Dataset Loading.srt 11.0 kB
  • 13. Analysis and Visualization of Reviews Text Data/14. Bivariate Analysis Part 1.srt 11.0 kB
  • 2. Python Crash Course/4. String.srt 11.0 kB
  • 6. Matplotlib/17. Animation Plot Part 2.srt 10.8 kB
  • 5. Data Visualization with Pandas/3. Line Plot.srt 10.7 kB
  • 12. Analysis and Visualization of Covid-19 Data/28. Growth Rate After 100 Cases.srt 10.7 kB
  • 8. Seaborn/6. Line Plot Part 2.srt 10.7 kB
  • 10. Analysis and Visualization of Boston Housing Data/18. Linear Regression without ML Part 2.srt 10.6 kB
  • 10. Analysis and Visualization of Boston Housing Data/10. Scatter Plot.srt 10.5 kB
  • 13. Analysis and Visualization of Reviews Text Data/4. Data Cleaning.srt 10.4 kB
  • 10. Analysis and Visualization of Boston Housing Data/12. Correlated Feature Selection.srt 10.2 kB
  • 11. Analysis and Visualization of Titanic Dataset/8. Pclass Part 2.srt 10.2 kB
  • 6. Matplotlib/2. Line Plot.srt 10.1 kB
  • 13. Analysis and Visualization of Reviews Text Data/15. Bivariate Analysis Part 2.srt 10.1 kB
  • 12. Analysis and Visualization of Covid-19 Data/12. Covid-19 Cases on Folium Map.srt 10.1 kB
  • 13. Analysis and Visualization of Reviews Text Data/11. Distribution of Unigram, Bigram and Trigram Part 2.srt 10.1 kB
  • 5. Data Visualization with Pandas/7. Histogram.srt 10.1 kB
  • 10. Analysis and Visualization of Boston Housing Data/14. Box and Rel Plot.srt 9.9 kB
  • 11. Analysis and Visualization of Titanic Dataset/5. Univariate Analysis.srt 9.8 kB
  • 15. Analysis and Visualization of FIFA World Cup Matches/9. Stadiums with Highest Average Attendance.srt 9.7 kB
  • 13. Analysis and Visualization of Reviews Text Data/13. Distribution of Top 20 Parts-of-Speech POS tags.srt 9.7 kB
  • 6. Matplotlib/7. xlim, ylim, xticks, and yticks.srt 9.6 kB
  • 13. Analysis and Visualization of Reviews Text Data/12. Distribution of Unigram, Bigram and Trigram without STOP WORDS.srt 9.6 kB
  • 12. Analysis and Visualization of Covid-19 Data/7. Scatter Plot for Confirmed Cases.srt 9.5 kB
  • 12. Analysis and Visualization of Covid-19 Data/26. Stacked Bar Plot.srt 9.4 kB
  • 12. Analysis and Visualization of Covid-19 Data/13. Confirmed Cases with Animation.srt 9.4 kB
  • 2. Python Crash Course/2. Data Types Numbers.srt 9.4 kB
  • 10. Analysis and Visualization of Boston Housing Data/13. Heatmap and Pair Plot of Correlated Data.srt 9.2 kB
  • 8. Seaborn/7. Line Plot Part 3.srt 9.2 kB
  • 12. Analysis and Visualization of Covid-19 Data/8. Cases Timelaps on Worldmap.srt 9.2 kB
  • 13. Analysis and Visualization of Reviews Text Data/9. Distribution of Department, Division, and Class.srt 9.0 kB
  • 12. Analysis and Visualization of Covid-19 Data/36. Confirmed Cases by Country and Daywise.srt 9.0 kB
  • 10. Analysis and Visualization of Boston Housing Data/3. Data Preparation.srt 8.8 kB
  • 5. Data Visualization with Pandas/9. Area and Scatter Plot.srt 8.8 kB
  • 16. Python Coding in Mobile/5. Seaborn Coding in Mobile.srt 8.8 kB
  • 13. Analysis and Visualization of Reviews Text Data/3. Data Import.srt 8.7 kB
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  • 5. Data Visualization with Pandas/2. Data Generation.srt 8.2 kB
  • 2. Python Crash Course/13. Conditional Statements If Else and Elif.srt 8.0 kB
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  • 12. Analysis and Visualization of Covid-19 Data/30. Growth Rate After 10000 Cases.srt 2.7 kB
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  • 0. Websites you may like/[FCS Forum].url 133 Bytes
  • 0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
  • 0. Websites you may like/[CourseClub.ME].url 122 Bytes

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