How to learn data science from scratch.

Use Stata from Jupyter Notebook

Learn how to identify the best-fitted distribution.

Generating different types of plots using Python’s Seaborn library.

Learn how to estimate regression models in Python for research publications.

Train, test and explain a Diabetes classification model in Python using LIME

Learn How to Setup Anaconda environment and connect it to IPython kernel.

Model comparison, hyper-parameter tuning and plotting in a few lines of codes

Empirical Cumulative Distribution Function (ECDF) Plotting and Percentile Computation.

This article will give you an overview of how to automate the deep learning model hyperparameters tuning.