Correlation Coefficient: Measures linear relationship between variables (-1 to +1)
+1: Perfect positive correlation
0: No correlation
-1: Perfect negative correlation
Uses: Feature selection • Multicollinearity detection • Data exploration • Pattern discovery
Methods: Pearson (linear) • Spearman (monotonic) • Kendall (rank-based)