Analyze IPL match and ball-by-ball data to understand team performance, player statistics, and match trends.
Kaggle – IPL Dataset
Files used:
- matches.csv
- deliveries.csv
Python
Google Colab / Jupyter Notebook
Pandas, NumPy
Matplotlib, Seaborn
Scikit-learn (Optional)
Load and clean data
Preprocess datasets
Perform Exploratory Data Analysis (EDA)
Analyze toss impact and player performance
Visualize key insights
(Optional) Build prediction models
Identified top teams and players
Analyzed runs, wickets, and win trends
Studied the impact of toss decisions
Created basic player rankings
IPL-Match-Analysis/
├── README.md
├── matches.csv
├── deliveries.csv
└── IPL_Match_Analysis.ipynb
Build match prediction models
Forecast player performance
Develop a web app for data analysis
Kaggle IPL Dataset
Janani Gunasekaran
Department of AI & DS
Mailam Engineering College