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.