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Data Science

329 learners

Feature Engineering and Correlation Analysis in Pandas

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

MatPlotLib

Pandas

Seaborn

See path

5 lessons

25 practices

2 hours

Exploratory Data Analysis and Visualization

Lessons and practices

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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