IPL Match Outcome Prediction using

IPL Match Outcome Prediction using Machine Learning

Developed a machine learning solution to predict IPL match outcomes using 15+ years of historical cricket data. Built a complete analytics pipeline involving data cleaning, feature engineering, model training, evaluation, and prediction generation using Python and Scikit-learn.

The project analyzed factors such as team performance, venue conditions, toss decisions, and historical win rates to identify patterns influencing match results. Multiple machine learning models were evaluated, achieving up to 78% prediction accuracy and providing data-driven insights into the key factors affecting match outcomes.

Tools: Python, Pandas, NumPy, Scikit-learn, Machine Learning, Data Analysis, Feature Engineering