Jovian
Sign In
Learn practical skills, build real-world projects, and advance your career

Course Project

Indian Premier League (IPL) Analysis [2008-2019]

Introduction

The Indian Premier League is a professional Twenty20 cricket league in India contested during March or April and May of every year by eight teams representing eight different cities in India. The league was founded by the Board of Control for Cricket in India in 2008.

The dataset has been downloaded from Kaggle Dataset Indian Premier League 2008-2019. The dataset contains two csv files but only one csv file i.e matches.csv has been used in this project for the analysis. The libraries for data analysis and visualization used in this project are Numpy, Pandas, Matplotlib and Seaborn. These libraries are covered in the course by Jovian.ml named as Data Analysis with Python: Zero to Pandas.

The Objective of this Project is to analyze the IPL dataset in a unique way by using the numpy, pandas, Matplotlib and seaborn libraries that I learned so far to help in assisting to extract more insights on IPL, to get a deep understanding on the teams and its players and comparing their stats over the year.

As a first step, let's upload our Jupyter notebook to Jovian.ml.

project_name = "IPL-Data-Analysis-course-project" # change this
!pip install jovian --upgrade -q