Add Notebook on Feature Selection Techniques

[Cgarg9]

Description:

Feature selection techniques, such as correlation analysis, mutual information, and recursive feature elimination, can help reduce dimensionality and improve model efficiency. This notebook should introduce these techniques and provide examples.

Tasks:

• Create a notebook explaining feature selection techniques.
• Provide code examples for correlation analysis, mutual information, and recursive feature elimination.
• Name the notebook feature_selection.ipynb.
• Update the README file with links to any resources used.