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Real-time generalizable model to predict final selling prices of houses using advanced regression techniques.

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bharaths222/House-Prices-Prediction-R

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Overview

  • Predicting the final selling price of houses in the city of Ames, Iowa using Linear Regression and Lasso and Ridge Regression.
  • Exploring and creating a visualization of data, compared the use of different regression models to understand the relationship between the outcome variable and potential predictors
  • Libraries required:
    1. caret
    2. dplyr
    3. ggplot2
    4. amelia

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Real-time generalizable model to predict final selling prices of houses using advanced regression techniques.

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