ML project The goal of this project was aimed to utilize supervised machine learning techniques to predict the price of houses located in Ames, Iowa. This dataset was provided by Kaggle. This dataset provided around 80 different features, including multiple aspects of the house that would help or may not help predict the fluctuation of the house prices. The algorithms used in this project include linear regression models and treee based regression models.
https://nycdatascience.com/blog/student-works/predictive-modeling-on-house-prices-ames-iowa/