🏡House Price Prediction, Artificial Intelligence course, University of Tehran

Tutorial: Random Forest Regression in R

A team work of a capstone project. The correlation between features were discovered. cost and store sales can be predicted by other store features with random forest regressor and multiple linear regression model. Customer membership card can be predicted with random forest classifier and deep learning models. Tableau was used for visualization.

Tools & skills Used: Python, MATLAB, Seaborn, ML models

This is the proof of concept, how a relatively unsophisticated statistical model trained on the large MPDS dataset predicts physical properties from the only crystalline structure (POSCAR or CIF).