# Correlation Matrix

A correlation matrix shows the pairwise correlation coefficients between all numeric columns in a dataset. It is computed with `df.corr()` and typically visualized as a heatmap using Seaborn. It is a key EDA tool for identifying which features are strongly related, which helps with feature selection and multicollinearity detection.

Visit the following resources to learn more:

- [@article@Correlation Matrix, Demystified](https://medium.com/data-science/correlation-matrix-demystified-3ae3405c86c1)
- [@article@Data Science - Statistics Correlation Matrix](https://www.w3schools.com/datascience/ds_stat_correlation_matrix.asp)