- 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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