Intro to Data Cleaning and Preprocessing with Diamonds
Learn to clean and preprocess the diamonds dataset, including converting categorical features to ordered types and visualizing data distributions. Gain essential skills in data preparation and visualization techniques, ensuring a solid foundation for deeper data analysis and modeling tasks.
Lessons and practices
Change Missing Value Column
Common Mistake: Fixing Null Values
Handling Missing Values Efficiently
Handling Missing Values in Diamonds
Write from Scratch: Handle Missing Values
Change Clarity Category Order
Fix Conversion of Categorical Data
Convert Data Types for Diamonds
Categorical Types Conversion Task
Convert Categorical Data to Ordered
Adjust the Histogram Parameters
Fix Histogram Visualization Errors
Customize the Histogram
Complete the Histogram Visualization
Visualize Diamond Price Distribution
Handle Outliers in Carat Column
Fix Issues in Outlier Detection
Detect and Remove Outliers
Flagging Outliers in the Diamonds Dataset
Outliers Handling from Scratch
Selective Standardization Exercise
Fix Bugs in Standardization Code
Standardize Numerical Features Practice
Standardize Specific Features with MinMax
Standardizing Numerical Features from Scratch
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