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CodeSignal

Feature Engineering and Correlation Analysis in Pandas

via CodeSignal

Overview

Learn how to engineer new features from existing data and assess their relationships using correlation analysis, thereby enhancing your understanding and improving model predictions.

Syllabus

  • Lesson 1: Creating a New Volume Feature
    • Create the Area Feature
    • Fix the Feature Creation Code
    • Create a Volume Feature
    • Calculate Diamond Density
    • Create New Features from Scratch
  • Lesson 2: Heatmap of Correlation Matrix
    • Adjust Heatmap Color and Size
    • Fix the Heatmap Visualization
    • Creating a Correlation Heatmap
    • Complete the Heatmap Visualization
    • Build a Correlation Heatmap
  • Lesson 3: Advanced Scatter Plot Customization
    • Customize Scatter Plot Axes
    • Fix the Scatter Plot Bugs
    • Visualize Volume vs Price
    • Create a Scatter Plot with Customizations
    • Create Valid Scatter and Regression Plots
  • Lesson 4: Calculate and Plot Correlations with Hue Using Scatterplots and Heatmaps
    • Changing Scatter Plot Axes
    • Fix the Scatter Plot Errors
    • Scatter Plot of Depth and Price
    • Visualizing Diamonds with Scatter Plot
    • Scatter Plot Depth and Price
  • Lesson 5: Highlighting Correlation Values Within a Range
    • Modify Correlation Masking Range
    • Debug Correlation Visualization
    • Highlight Significant Correlations
    • Highlighting Key Correlation Values
    • Highlight Correlation with Heatmap

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