Machine Learning Model Tuning using Grid, Random and Genetic Algorithm based Search.
Learn how to estimate regression models in Python for research publications.
Learn how to interpret a BlackBox model using SHAP (SHapley Additive exPlanations)
Train, test and explain a Diabetes classification model in Python using LIME
Learn how to train an MLR model, interpret its coefficients and perform a step-wise regression.
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.
Learn how to Classify Hand Written Digits using a Convolutional Neural Network (CNN).
This article will give you a practical hands-on overview of fitting a binary logistic regression model using the R programming language.