Advanced Regression Techniques

Developed machine learning models for predicting housing sale prices from given features. The task and dataset are available on Kaggle (House Prices Advanced Regression Techniques). The dataset provides 79 features describing different aspects of residential homes in Ames, Iowa, and the target (outcome) variable of this regression task is the sale price of the home. The evaluation metric of submissions is RMSE (root mean-squared error) on the logarithm of the predicted and of the observed houses sale price in the test set.