Learning the topic Machine learning, with sample code.

This repository contains a basic fraud detection system utilising supervised learning techniques to identify potentially fraudulent credit card transactions. The project establishes a baseline model that addresses the challenges of credit card fraud in financial institutions.

Comparing Random Forest, Gradient Boosting, and XGBoost to select the best model to predict potential donors for a Charity.

Implementing Breast cancer detection using machine learning

A deep learning-based facial emotion recognition system using the CK+ dataset and a custom CNN built with PyTorch.

Machine learning models trained on U.S. Census data to classify income levels, including preprocessing, PCA, SVD, and evaluation with MLP, logistic regression, and Naïve Bayes.

All about Data intelligence

Superstore Time Series Data Analysis and its prediction for next 4 years using ARIMA model.

A machine learning project using Random Forest to detect abnormal electricity usage. Features include yearly average consumption, seasonal adjustment, and vacation handling. Comes with a risk dashboard (Normal / Medium / High Risk) and model saving for reuse.