Cricket Runs Predictor

A machine learning project built using PyTorch to predict a cricket player's runs per match based on their statistics.

The model is trained on historical player data and uses a neural network to generate predictions. It demonstrates how structured sports data can be used for regression-based predictions.

This project focuses on data preprocessing, model training, and evaluating predictions using real-world datasets.