Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Why Feature Selection

The video discusses feature selection, a dimensionality reduction technique that improves model performance by reducing complexity and enhancing generalization. It compares feature selection with feature extraction, highlighting the ability to retain original feature identities for better model interpretation. The video also emphasizes the cost-effectiveness of feature selection in data acquisition by focusing on relevant features.

What is the curse of dimensionality, and how does it relate to feature selection?

Why is it important to keep the original identities of features during feature selection?

Discuss how feature selection can improve the data acquisition process.