• We have used Python3 version for development of our complete project.

• Data is crawled and stored into csv file format under data folder.

• For more details read report.pdf file given in Report folder.

• Project Map :

/ODI-Cricket-Match-Result-Prediction /data -- dataset.csv -- rankings_on_date.csv -- final_dataset.csv

/Report
-- report.pdf

/Presentation
-- presentation.pdf

link_crawl.py
data-extractor.py
ranking-extractor.py
map-player-ranking.py
read_file.py
get_all.sh
data_crawl.sh
classifiers.py
readme

• Packages to install

  • pandas
  • numpy
  • sklearn
  • beautifulsoup (sudo apt-get install python3-bs4)

• How to run?

  • To crawl data you have to simply run following command:

    • sh data_crawl.sh Condition: 2 directories named links and data must be present in pwd. We don't suggest to run this script as it takes around 4-5 hours to complete.

  • To run the models which we have implements, run following command:

    • python3 classifiers.py