https://github.com/weblineindia/aiml-ipl-data-analysis

https://github.com/weblineindia/aiml-ipl-data-analysis

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/weblineindia/aiml-ipl-data-analysis
• Owner: weblineindia
• License: mit
• Created: 2023-11-23T06:19:12.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-11-23T08:48:28.000Z (almost 2 years ago)
• Last Synced: 2025-04-19T13:35:39.210Z (6 months ago)
• Language: Jupyter Notebook
• Size: 258 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
**AIML - IPL Data Analysis**

This project includes a single CSV file with several columns, like Player Name, Nationality, Strike Rate, Average, and so on, based on players prior records.In this project we have to find out

* Top 3 Batsman

* Top 3 Wicket Keepers

* Top 3 All Rounders.

For this we have used Numpy, Pandas for Data Pre-processing and Matplotlib for Data Visualization

**Basic Overview of the Steps Done to achieve the Goal:**

* Import all the libraries

* Load the DataSet

* Grouped Batters, Wicket Keepers and All Rounders

* Done data pre- processing

* Done the Data Analysis for Batsman, Wicket Keepers and All Rounders

* Done the Data Visualization and found the top Batsman , Wicket Keepers and All rounders

**Libraries Required:**

* Numpy

* Pandas

* Matplotlib