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ML model to predict runs per 6 overs in Inning of IPL.

License: GNU General Public License v3.0

Python 16.67% CSS 9.68% HTML 73.65%
ipl t20 pandas numpy matplotlib python jupyter-notebook deep-learning machine-learning

ipl-rip6o's Introduction

IPL-RIP6O

IPL Runs Inning Per 6 Overs

In this project, I am making a Machine Learning model that can predict the score after every six overs in an inning of match.

Problem idea:

Given certain input parameters regarding an innings of a T20 cricket match, predict the total runs scored by the batting team at the end of 6 overs.

Difficulty :

Medium

Workspace structure:

  1. data
    1. all_matches.csv
    2. inputFile.csv
    3. playersList.csv
  2. CODE_OF_CONDUCT.md
  3. CONTRIBUTE.md
  4. LICENSE
  5. README.md
  6. Untitled.ipynb
  7. main.py
  8. predictor.py
  9. requirments.txt

Data description:

The first row of all_matches CSV file contains the headers for the file, with each subsequent row providing details on a single delivery. The headers in the file are:

  • match_id
  • season
  • start_date
  • venue
  • innings
  • ball
  • batting_team
  • bowling_team
  • striker
  • non_striker
  • bowler
  • runs_off_bat
  • extras
  • wides
  • noballs
  • byes
  • legbyes
  • penalty
  • wicket_type
  • player_dismissed
  • other_wicket_type
  • Other_player_dismissed

Input file is a test set CSV file which have details of 6 overs in 1 inning like: bowlers, batting team.

In players list CSV file conatins all players name in the match.

Prerequisites:

  • Basic knowledge of cricket(IPL, T-20)
  • Python language skills
  • Analytical skills to analyise the data from previous matches and coming up with a code to predict the scores after 6 overs in every innings.

Requirments:

follow the requirments file for imformation.

Welcome!, Contributors:

Don't worry about experience, Just follow the CONTRIBUTING guidelines. This repository for you, try out your knowldege of coding, ML and Data science. Happy Coding!

ipl-rip6o's People

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ipl-rip6o's Issues

Add ML model to predict RIP6O

Add a Best ML model using ML libraries like Tensorflow, Scikit-learn or Pytorch to predict the Runs in Per Six Over using following test file... follow README.md file

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