9. Adding a third variable with hue Exercise 2 Hue and count plots

PART 2 Customising Seaborn Plots
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#MODULE6 #Seaborn

1. Changing plot style and color

2. Changing plot style and color Exercise 1 Changing style and palette

3. Changing plot style and color Exercise 2 Changing the scale

4. Changing plot style and color Exercise 3 Using a custom palette

5. Adding titles and labels Part 1

6. Adding titles and labels Part 1 Exercise 1 FacetGrids vs. AxesSubplots

7. Adding titles and labels Part 1 Exercise 2 Adding a title to a FacetGrid object

8. Adding titles and labels Part 2

9. Adding titles and labels Part 2 Exercise 1 Adding a title and axis labels

10. Adding titles and labels Part 2 Exercise 2 Rotating x-tick labels

11. Putting it all together

12. Putting it all together Exercise 1 Box plot with subgroups

13. Putting it all together Exercise 2 Bar plot with subgroups and subplots

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Module 1 - Introduction to Data Science
Module 2 - Introduction to Python
Module 3 - Pandas
Module 4 - Merging Data Frames with Pandas

Module 5 - Introduction to Data Visualisation Using Matplotlib
https://t.me/c/1454674396/8

Module 6 - Data Visualization with Seaborn
https://t.me/c/1454674396/61

Module 7 - Descriptive Statistics with Python
https://t.me/c/1454674396/106

Module 8 - Inferential Statistics with Python
https://t.me/c/1454674396/129

Module 9 - Feature Engineering
Module 9.5 - Exploratory Data Analysis
Module 10 - Machine Learning for Everyone
Module 11 - Supervised Learning with scikit-learn
Module 12 - Machine Learning with Tree-Based Models in Python
Module 12.5 - Extreme Gradient Boosting with XGBoost
Module 13 - Dimensionality Reduction and Unsupervised Learning
Module 14 - Machine Learning for Time Series Data