House-Price-Prediction-ML
The objective is to build a regression model to predict the price of houses.
Pre-processed the dataset by analysing the missing values in the data.
Used Regressor algorithms like Support Vector Regressor and Random Forest. There are 1460 samples of house prices in the dataset.