Posted in Machine Learning, R
Learn how to train an MLR model, interpret its coefficients and perform a step-wise regression.
Learn how to train an MLR model, interpret its coefficients and perform a step-wise regression.
Learn How to Setup Anaconda environment and connect it to IPython kernel.
Decision Tree Training, Pruning and Hyperparameters Tuning.
Building Bar Plot, Adjusting Colors and Labeling.
Model comparison, hyper-parameter tuning and plotting in a few lines of codes
Empirical Cumulative Distribution Function (ECDF) Plotting and Percentile Computation.