Compute feature correlations with target
Identify predictive features
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Write Python code to compute the correlation between all features and the target variable [target] in DataFrame df. Use Pearson for numerical features, point-biserial for binary vs continuous, and Cramér's V for categorical vs categorical. Output a ranked table of correlation strengths.
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