This project involves building a machine learning model to predict the final score of an IPL (Indian Premier League) innings based on current match conditions. It uses historical match data to train regression models that consider key factors like overs completed, runs scored, and wickets lost.
💡 Key Features: Data preprocessing using Pandas
Exploratory data analysis and visualization
Model building using regression algorithms from Scikit-learn
Evaluation using metrics like R² score and Mean Absolute Error
Deployed in a Jupyter Notebook for easy demonstration
🔧 Tech Stack: Python
Pandas, NumPy, Matplotlib, Seaborn
Scikit-learn
Jupyter Notebook / Google Colab