The goal of this Project was to use EDA, Visualization, Data cleaning, Preprocessing and Linear models to predict home prices given the features of the home and interpret your linear models to find out what features add value to a home.
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The goal of this project was to use EDA, Visualization, Data cleaning, Preprocessing, and Linear models to predict home prices given the features of the home and interpret your linear models to find out what features add value to a home.
Pshinde100/Predicting-Housing-Prices-using-Advanced-Regression-
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The goal of this project was to use EDA, Visualization, Data cleaning, Preprocessing, and Linear models to predict home prices given the features of the home and interpret your linear models to find out what features add value to a home.
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