Which type of data analysis helps the most in feature selection for Machine Learning?
- All of them equally contribute.
- CDA
- EDA
- Predictive Modeling
EDA plays a significant role in feature selection for Machine Learning. Through the exploration of relationships between features and the target variable, and the identification of potential data issues like multicollinearity, EDA can help analysts determine which features are most relevant for a given machine learning model.
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