In the premier episode of a new segment called The Skinny on Options Data Science, Dr. Data (Michael Rechenthin, Ph.D.) joins Tom Sosnoff and Tony Battista to discuss Supervised Learning Models. These models can be used to analyze historical data to find patterns among data sources, find connections and relationships among variables and to predict future outcomes.
Today, the guys talk about prediction via supervised learning models. Dr. Data explains that instead of using a gut feeling to make a decision, you can use data science based on empirical evidence to make better inferences. One of the ways that Mike explains you can do this is by using a regression model!