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1. Changing plot style and color
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2. Changing plot style and color Exercise 1 Changing style and palette
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3. Changing plot style and color Exercise 2 Changing the scale
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4. Changing plot style and color Exercise 3 Using a custom palette
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5. Adding titles and labels Part 1
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6. Adding titles and labels Part 1 Exercise 1 FacetGrids vs. AxesSubplots
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7. Adding titles and labels Part 1 Exercise 2 Adding a title to a FacetGrid object
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8. Adding titles and labels Part 2
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9. Adding titles and labels Part 2 Exercise 1 Adding a title and axis labels
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10. Adding titles and labels Part 2 Exercise 2 Rotating x-tick labels
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11. Putting it all together
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12. Putting it all together Exercise 1 Box plot with subgroups
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13. Putting it all together Exercise 2 Bar plot with subgroups and subplots
Learn Generative AI | Machine Learning | Deep learning | Artificial Intelligence - Material, Books, Videos, Exercises pinned «———————————————— —— #MODULE6 #Seaborn —— ———————————————— 👇Data visualisation with Seaborn👇»
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Learn Generative AI | Machine Learning | Deep learning | Artificial Intelligence - Material, Books, Videos, Exercises pinned «Should i continue uploading videos?
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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
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
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