Python code for learning cosmology using different methods and mock data

The ability to predict prices and features affecting the appraisal of property can be a powerful tool in such a cash intensive market for a lessor. Additionally, a predictor that forecasts the number of reviews a specific listing will get may be helpful in examining elements that affect a property's popularity.

This notebook presents RSVP-P300 analysis using the distinctive AMBER dataset, designed to replicate real-world interactions by intentionally introducing artifacts. The analysis delves into the impact of noise and artifacts on ERP P300 prediction performance.