Feature Selection, Python, Statistical Analysis, Data Analysis.
seems to be the best path forward, below are two possible approaches. If the data is normally distributed you can use Pearson’s Correlation Coefficient. [7] The formula is below: Where: cov = covariance σ is the standard deviation of X or Y respectively. The scipy.stats.pearsonr package is helpful