Correlation analysis can help us understand whether, and how strongly, a pair of variables are related.
In data science and machine learning, this can help us understand relationships between features/predictor variables and outcomes. It can also help us understand dependencies between different feature variables.
- How strong is the correlation between mental stress and cardiac issues?
- Is there a correlation between literacy rate and frequency of criminal activities?
This tutorial will help you learn the different techniques and approaches used to understand correlations that exist between features in any dataset.