It’s confirmed and *guaranteed*: Ridge Regression >> Tree Model Source? It was revealed to me in a dream
Special Article: Why does regularisation mostly make your parameters smaller not bigger? For the real Gs
PCA Truncation On Covariance Matrix - Everyone Talks About It, But What Does It Actually Do? I bombed 2 quant interviews because I failed PCA questions. Inshallah won't happen again
If I tell you all the important features, should you include all of them? why statsmodels >>> sklearn
Lowkey-Advanced Ridge Regression (Part II): Non-Zero Priors, Subset Shrinkage, Cluster Shrinkage I Studied Regressions *Only* for 30 Days So You Don't Have To But You Have To Subscribe Part II
Lowkey-Advanced Ridge Regression (Part I) I Studied Regressions *Only* for 30 Days So You Don't Have To But You Have To Subscribe