Predicting Housing Prices Using Scikit-Learn’s Random Forest Model

Having a housing price prediction model can be a very important tool for both the seller and the buyer as it can aid them in making well informed decision. For sellers, it may help them to determine the average price at which they should put their house for sale while for buyers, it may help them find out the right average price to purchase the house. <h1>Objective</h1> To build a random forest regression model, which is able to predict the median value of houses. We will also briefly walk through some Exploratory Data Analysis, Feature Engineering and Hyperparameter tuning to improve the performance of our Random Forest model. <a href="https://towardsdatascience.com/predicting-housing-prices-using-a-scikit-learns-random-forest-model-e736b59d56c5">Read More</a>