Learn how to combine multiple plots for scientific publications.
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.
Empirical Cumulative Distribution Function (ECDF) Plotting and Percentile Computation.
Adding Images in IPython Notebook (short article)
This article will give you a practical hands-on overview of fitting a binary logistic regression model using the R programming language.
These books will help you to understand the processes involved in data science workflow and become a data science professional.