You can use the seaborn library to create a heatmap in Python, such as sns.heatmap(df.corr(), annot=True, cmap='coolwarm') to plot the correlation matrix with annotations and a color scheme. Add ...

Identify multicollinearity issues by correlation, VIF, and visualizations. This package is designed for beginners of Python who want to identify multicollinearity issues by applying a simple function.

Normally we create a correlation matrix and visualize it using a heatmap, PPS also has a matrix function which is similar to the correlation matrix. Let us create a pps matrix and visualize it. For ...