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Seaborn Mastery
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Course Syllabus and Details
How to Memorize Seaborn Syntax (20:22)
Setup
Install Anaconda (5:06)
A Quick Tour of Anaconda Navigator (2:22)
Check Package Installation (3:35)
A Quick Tour of the Spyder IDE (4:20)
Install the Practice Software (2:56)
A Quick Review of Datasets in Python
What DataFrames are (7:45)
What is Tidy Data? (5:39)
How to create DataFrames from CSV files (5:19)
Visualizing Relationships Between Numeric Variables
Scatterplot (26:23)
Lineplot (14:46)
Pairplot (15:02)
Regplot (Regression Plot) (19:20)
Practice Exercises: Visualizing Relationships (50:13)
Visualizaing Categorical Data
Countplot (21:45)
Barplot (30:35)
Boxplot (19:53)
Violin Plot (15:04)
Practice Exercises: Visualizing Categories (3:26)
Visualizaing Data Distributions
Histplot
Distplot (14:51)
KDE Plot (16:15)
Rug Plot (16:20)
Jointplot (17:14)
Practice Exercises: Visualizing Distributions (2:23)
Plots with Multiple Visualizations
Facet Grid (26:41)
Pair Grid (18:24)
Practice Exercises: Plots with Multiple Panels
Working with Plot Aesthetics
Plot Styles (18:13)
How to Add Plot Titles (9:48)
How to Add Axis Labels (x label and y label) (9:33)
Practice Exercises: Working with Plot Elements and Aesthetics
Working with Colors and Color Palettes
An Introduction to Color Palettes
Sequential Color Palettes (20:23)
Diverging Color Palettes (13:58)
Practice Exercises: Working with Color Palettes
Bonus Vault: Data Visualization teardowns
USA Movers [Map teardown] (6:37)
Fed Balance Sheet [Line Chart Teardown] (4:40)
US Cities, Municipal Debt [Bar Chart Teardown] (5:37)
BONUS VAULT: More data visualization tips
5 Visualization Mistakes that Make You Look Like an Amateur
5 Ways to Improve Your Visualizations
BONUS: Seaborn Cheat Sheet
Seaborn Cheat Sheet
BONUS VAULT: Matplotlib Essentials
Histogram (6:44)
Scatterplot (8:55)
Bar Chart (9:46)
Line Chart (8:14)
Formatting Matplotlib Charts (9:02)
Practice exercises: Matplotlib
ROC Curves
How to Make an ROC Curve with Seaborn Objects
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How to Add Axis Labels (x label and y label)
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