GitHub - TanweerulHaque/FLIPR-Hackathon: Data Set of 2018 and 2019 IPL matches were chosen to predict runs scored by players in 2020. Exploratory Data Analysis was done on data set followed by ensemble model XGBoost to get accuracy of 99.6%

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Data Set of 2018 and 2019 IPL matches were chosen to predict runs scored by players in 2020. Exploratory Data Analysis was done on data set followed by ensemble model XGBoost to get accuracy of 99.6%

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Data.xlsx		Data.xlsx
FLIPR-HACKATHON.ipynb		FLIPR-HACKATHON.ipynb
Hackathon_7.0_ML_Guidelines.pdf		Hackathon_7.0_ML_Guidelines.pdf
Solution_Sheet.docx		Solution_Sheet.docx
Team Name-Outliers.csv		Team Name-Outliers.csv
Variable_Description (2).xlsx		Variable_Description (2).xlsx

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Data Set of 2018 and 2019 IPL matches were chosen to predict runs scored by players in 2020. Exploratory Data Analysis was done on data set followed by ensemble model XGBoost to get accuracy of 99.6%

eda python3 xgboost ipl google-colab juypter-notebook

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