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Exploratory Data Analysis (EDA) project in Python on the 2018 FIFA Football World Cup and Man of the Match Prediction : Used pandas, numpy, seaborn and matplotlib for EDA. Applied Decision Tree, Random Forest and XGboost algorithms for Man of the Match prediction.

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Ishita-Mehta/FIFA-WorldCup-MOM-Prediction

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FIFA-WorldCup-MOM-Prediction

Exploratory Data Analysis (EDA) project in Python on the 2018 FIFA Football World Cup and Man of the Match Prediction : Used pandas, numpy, seaborn and matplotlib for EDA. Applied Decision Tree, Random Forest and XGboost algorithms for Man of the Match prediction.

This project was completed during my 6th semester.

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Exploratory Data Analysis (EDA) project in Python on the 2018 FIFA Football World Cup and Man of the Match Prediction : Used pandas, numpy, seaborn and matplotlib for EDA. Applied Decision Tree, Random Forest and XGboost algorithms for Man of the Match prediction.

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