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ipl data analysis

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GitHub - tanmay21-ai/IPL_DataAnalysis

IPL_DataAnalysis. In this repository, I've used various libraries such as Pandas, Numpy, Matplotlib and Seaborn to perform a basic statistical data analysis on The Indian Premiere League from 2008 to 2019. The Indian Premier League (IPL) is a professional Twenty20 cricket league in India contested during March or April and May of every year by ...

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 ...

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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 (2008–2020) using Python | by Rohit Kumar ...

IPL Data Analysis. Now, we all watch cricket generally and we all know the Indian premier league (IPL) is the biggest cricket league in the world. Let’s perform the data analysis of IPL with the data of IPL matches from 2008 to 2020. Grab a cup of coffee and let’s begin the hack. Analysis of IPL Data

IPL Data Analysis and Visualization Project using Python ...

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

Analysing IPL Data to begin Data Analytics with Python | by ...

Since usually such tutorials are based on in-bui l t datasets like iris, It becomes harder for the learner to connect with the analysis and hence learning becomes difficult. To overcome this, The dataset that we use in this notebook is IPL (Indian Premier League) Dataset posted on Kaggle Datasets sourced from cricsheet. IPL is one of the most popular cricket tournaments in the world, thus the problems we try to solve and the questions that we try to answer should be familiar to anyone who ...

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

IPL Exploratory Data Analysis - Thecleverprogrammer

So let’s start our exploratory data analysis on IPL. Let’s start with importing the required libraries. # This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load in import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) import matplotlib.pyplot as mlt import seaborn as ...
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