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xgboost-model

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This repository consists of 6 sections, detailing hands on Machine Learning Models: Regression, Classification, Clustering, AssocaitionRuleLearning, Deep Learning and Natural Language Processing Techniques

  • Updated May 10, 2020
  • Python

I am interested in exploring machine learning techniques to predict the outcome of a European soccer game using game and player information collected. The generated predictive model will be able to predict the outcome of a game as Win, Loss or Draw for the home team. This model will use various attributes that are calculated each year for both h…

  • Updated Oct 15, 2020
  • R

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