Cricket is a game played prominently in the Indian subcontinent, Australia, United Kingdom and Southern Africa. This analysis is done to know as which factors led one of the team to win and how does it matter.
Learn how to solve business problems for companies with this internship project.
Gather data, apply machine learning models, and conduct analysis. Produce a report with your findings, and emerge with a proper project submission.
Data Analysis Project on Indian Premier League (IPL) to understand which factors lead one of the team to win and how does it matter.
What you will learn
- Getting Started with Python For Data Science
- What is YAML & Reading Datasets in Python
- Data Analysis using Pandas
- NumPy Advanced and Introduction to Pandas
- Visualizations on Pandas
- Statistics – Descriptive Statistics & Inferential Statistics
- Linear regression
- Exploratory data analysis
- Data Preprocessing & Feature Engineering
- Logistic Regression
What you will get
- Jupyter notebooks
- Career advise and tasks
- Bonus material
- Tasks for each day
About the project
The Indian Premier League (IPL) is a professional T20 cricket league in India contested during April-May of every year by teams representing Indian cities. It is the most-attended cricket league in the world and ranks sixth among all the sports leagues. It has teamed with players from around the world and is very competitive and entertaining with a lot of close matches between teams.
We want to know as to what happens during an IPL match which raises several questions in our mind with our limited knowledge about the game called cricket on which it is based. This analysis is done to know as to which factors led one of the team to win and how does it matter.
The IPL and other cricket related datasets are available at https://cricsheet.org/. Feel free to visit the website and explore the data by yourself as exploring new sources of data is one of the interesting activities a data scientist gets to do.