M

machine_learning

A churn prediction model based on a player's historical playing habits, rather than an arbitrary cut-off point. This inspiration came from the paper, https://www.sciencedirect.com/science/article/pii/S2666603023000143#abs0010, aimed at finding optimal churn predictions.

This project also makes use of MLflow , an open-source platform for managing the end-to-end machine learnin lifecycle.

These are the scripts which will run on the back-end on the servers(hospital).

Задача проекта — научиться предсказывать количество поездок в ближайшие часы в каждом районе Нью-Йорка; для простоты мы определим прямоугольные районы. https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page

Predicting Success Rates of Kickstarter Projects