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.
An Introduction to Notion Note-taking Application for Research.
Adding Images in IPython Notebook (short article)
This article will give you an overview of how to automate the deep learning model hyperparameters tuning.
Learn how to Classify Hand Written Digits using a Convolutional Neural Network (CNN).