Skip to content

Smitha28/House_Prices_Bayesian_Regression

Repository files navigation

House_Prices_Bayesian_Regression

Assignment 3 for Machine Learning Course @ Columbia University. Used data from Kaggle House Prices DataSet.

Click here to interact with my Jupyter Notebook and try out analysis yourself: Binder

GOAL: Predict the price of the house based on various features such as location, number of rooms, pool area, etc.

METHOD: Using Bayesian Regression model to predict the price

DATA: Kaggle DataSet on House Prices: Advanced Regression Models

About

Predicting house prices based on various features given in dataset using Bayesian Regression model

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published