Data Visualization Recipes in Python [Video]
File List
- 1 - Visualization with Matplotlib and Pandas/Getting Started with Matplotlib.mp4 48.3 MB
- V11306_Code.zip 39.2 MB
- 1 - Visualization with Matplotlib and Pandas/Visualizing Data with Matplotlib.mp4 28.2 MB
- 1 - Visualization with Matplotlib and Pandas/Visualizing the Flights Dataset.mp4 25.1 MB
- 3 - Time Series Analysis/Using Methods That Only Work with a DatetimeIndex.mp4 18.4 MB
- 2 - Visualization with Seaborn and Pandas/Stacking Area Charts to Discover Emerging Trends.mp4 18.4 MB
- 3 - Time Series Analysis/Understanding the Difference Between Python and Pandas Date Tools.mp4 18.1 MB
- 3 - Time Series Analysis/Measuring Crime by Weekday and Year.mp4 16.0 MB
- 3 - Time Series Analysis/Slicing Time Series Intelligently.mp4 14.1 MB
- 2 - Visualization with Seaborn and Pandas/Uncovering Simpson's Paradox in the Diamonds Dataset with Seaborn.mp4 12.8 MB
- 2 - Visualization with Seaborn and Pandas/Doing Multivariate Analysis with Seaborn Grids.mp4 11.9 MB
- 2 - Visualization with Seaborn and Pandas/Understanding the Differences Between Seaborn and Pandas.mp4 10.8 MB
- 1 - Visualization with Matplotlib and Pandas/Plotting Basics with Pandas.mp4 8.8 MB
- 3 - Time Series Analysis/Counting the Number of Weekly Crimes.mp4 8.4 MB
- 4 - Grouping and Aggregating with Time Series Analysis/Grouping By a Timestamp and Another Column.mp4 8.4 MB
- 1 - Visualization with Matplotlib and Pandas/The Course Overview.mp4 6.8 MB
- 4 - Grouping and Aggregating with Time Series Analysis/Aggregating Weekly Crime and Traffic Accidents Separately.mp4 5.8 MB
- 4 - Grouping and Aggregating with Time Series Analysis/Grouping with Anonymous Functions with a DatetimeIndex.mp4 5.3 MB
- 4 - Grouping and Aggregating with Time Series Analysis/Finding the Last Time Crime Was 20% Lower with merge_asof.mp4 5.1 MB
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via anywarmservice[AT]gmail.com. Remember to include the full url in your complaint.