Learn the PySpark Fundamentals
Use Stata from Jupyter Notebook
Learn how to identify the best-fitted distribution.
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.
Adding Images in IPython Notebook (short article)
This article will give you an overview of how to automate the deep learning model hyperparameters tuning.
Data Manipulation in Python using the dfply Package (dplyr-Style)