This course is based on cooperation with scholars from DataScience @Berkeley at School of Information in UC Berkeley, and senior data scientists from IBM. Students will learn to build algorithm on forecasting the real estate market and work on cases studies using machine learning based on millions of real estate market data.
6 weeks of study, 1-2 sessions per week
small class, real-time interaction, teaching assistant, one-on-one discussion with professor
In this course, you will
- Participate in building a model on forecasting the sales price of real estate;
- Construct an evaluation algorithm from scratch;
- Design new features to improve current model with the help of external data sources;
- Upgrade your ability to apply models and software.