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Machine Learning for Absolute Beginners - Level 3
Getting Started with Level 3!
Welcome! (3:21)
Our Overall Learning Path (2:13)
How to Practice? (2:31)
Data Visualization with Matplotlib and Seaborn
Overview (2:11)
Matplotlib – Overview (8:23)
Matplotlib – Figures, Axes (3:23)
Matplotlib – The OO and Pyplot Interfaces (6:59)
Matplotlib – APIs Reference Review (5:37)
Seaborn – Overview (3:50)
Seaborn – Figure and Axes-level Functions (6:21)
Seaborn - Chart Customization (4:44)
Seaborn – API Reference Review (4:00)
A little bit about NumPy (6:40)
The Right Chart for the Right Job (2:50)
Ranking and Proportion Charts
Overview (1:20)
Bar Chart (10:20)
Grouped Bar Chart (9:07)
Lollipop Chart (4:03)
Stacked Bar Chart (3:34)
Pie Chart (3:51)
Treemap (6:25)
Optimizing Colors (6:32)
Exercise 1 - Ranking and Proportion Charts
Trend and Distribution Charts
Overview (1:56)
Line Chart (6:59)
Area Chart (1:58)
Stacked Area Chart (3:43)
Histogram Chart (6:43)
Density Curve Chart (5:38)
Box-and-Whisker Chart (9:30)
Bee-swarm Chart (2:30)
Exercise 2 – Trend and Distribution Charts
Correlation Charts
Overview (2:41)
Scatter Chart (10:26)
Correlogram (3:29)
Heat-Map (8:34)
Hexbin-Map (4:21)
Exercise 3 – Correlation Charts
Course Summary
Let’s Recap and Thank You! (2:55)
Matplotlib – The OO and Pyplot Interfaces
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