Machine Learning Model Tuning using Grid, Random and Genetic Algorithm based Search.

Learn how to interpret a BlackBox model using SHAP (SHapley Additive exPlanations)

Decision Tree Training, Pruning and Hyperparameters Tuning.

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

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

This article will give you a practical hands-on overview of fitting a binary logistic regression model using the R programming language.

This article will give you a practical hands-on overview of fitting a binary logistic regression model and its interpretation using Python.

These books will help you to understand the processes involved in data science workflow and become a data science professional.