Loan Default Prediction Model: A machine learning project that leverages historical lending data to create predictive models for assessing loan default risk, aiding financial institutions in making informed lending decisions.

Data Science Project (Logistic Regression M7)

Predictiver modelling with Diabetes PIMA Dataset which consists of model comparison using decision tree, random forest, logistic classifier and xgboost algorithms

Predicting bank term deposits using classification ML algorithms.

This Titanic Survical Prediction project applies Supervised Machine Learning to predict passenger survival from the Titanic dataset. It focuses on practical data preprocessing, binary classification, and foundational model evaluation.