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Exploratory Data Analysis of IPL Matches-Part I | by Bipin P ...

Exploratory Data Analysis of IPL Matches-Part I Objectives:. To find the team that won the most number of matches in a season. To find the team that lost the most... Data Preparation and Cleaning. Let’s star t by reading the csv file to Pandas DataFrame. So there are 756 rows and 18... Exploratory ...

IPL Data Analysis and Visualization Project using Python ...

Introduction. Data science is the study of data to extract knowledge and insights from the ...

Data Analysis — Only 20 % of IPL (Indian Premier League ...

Data Analysis — Only 20 % of IPL (Indian Premier League) matches are thrillers. Ashay Maheshwari. Follow. ... NULL values, useless columns and prepare the data for analysis. This step usually ...

IPL Data Analysis | Data Science | Python | AI | TechTrunk ...

IPL Data Analysis. In this article analysis of summary of IPL matches from 2008 to 2017 is done using Data Science and python packages like pandas, matplotlib and seaborn. The Dataset can be downloaded from here. data collected includes some properties like-Season; City in which match held; Team1; Team2; Winner; Toss decision; Win by runs; Win by wickets

GitHub - jain1997/IPL-Data-Analysis

IPL-Data-Analysis. Context: Cricket is a bat-and-ball game played between two teams of eleven players each on a cricket field, at the centre of which is a rectangular 20-metre (22-yard) pitch with a target at each end called the wicket (a set of three wooden stumps upon which two bails sit).

IPL Analysis with Python - Data Science | Machine Learning

Data Science Project on IPL Analysis. IPL is a major professional cricket league in India, contested by eight teams representing different cities in India. This IPL analysis task focuses on analyzing the performance of the eight competing IPL teams. Also, Read – 100+ Machine Learning Projects Solved and Explained.