Project information

Python scripts

My colleages and I worked on a series of JN for our class of Applied Statistics. Here we show our skills in the Machine Learning and Causal Inference's topics: Methods (Partialling out, Cross validation, Boostraping, Bagging) & Models (IRA, CRA, Lasso, Dobble Lasso, TF, RF, Causal Tree & RFT)