House Price Prediction System Documentatiom

This Project is based on Machine Learning in which We predict the Price of the House using a Dataset and training it by using several Machine Learning Algorithms Like EDA(Exploratory Data Analysis) and SEMMA(Sample, Explore, Modify, Model, Assess) model. The Model takes several factors like lot size, Number of Rooms, Floors, Bathrooms etc and hence Predicts the Price with 95% Accuracy in USD.