This repository contains a machine learning model built in Python using the train.csv dataset. It involves data exploration with pandas, including cleaning, handling missing values, and feature ...

Classification and Evaluation with Naive Bayes and XGBoost in Python This repository includes a Python script to classify a dataset using both Naive Bayes and XGBoost classifiers. The script evaluates ...

A/B testing, a common method of comparison used by digital marketers, can help L&D leaders determine whether trainings are making the impact they should.