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Predicting housing prices using various Machine Learning algorithms in Python.

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Pythoneers Final Project.pptx

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HousePricesML

  • This code walks you through Data Exploration, Data Cleaning, Testing, and Implementing of various Machine Learning alorithms using Housing Data to predict prices.
  • ML Algorithms utilized: Linear Regression(Lasso,Ridge),TeaPot, XGBoost
  • We achieved an accuracy score of : 91.2%

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Predicting housing prices using various Machine Learning algorithms in Python.

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python encoding machine-learning random-forest numpy linear-regression pandas xgboost housing-prices ridge-regression data-exploration teapot lasso-regression

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