MMohitminmonthlydatascience.hashnode.dev·Sep 1 · 7 min readWhat PCA is actually doing to your dataMost explanations of PCA stop at "it reduces dimensions." That is true, and it is roughly as useful as saying a regression "fits a line." It tells you what happens without telling you what the method 00
MMohitminmonthlydatascience.hashnode.dev·Aug 23 · 7 min readCorrelation Is Pairwise. Multicollinearity Isn'tAlmost every regression project I've seen in the last decade starts the same way. Load the data, df.corr(), plot the heatmap, scan for red squares, drop one variable from every pair above 0.8. Then we10