Machine Learning to Improve the Accuracy of a Period Prediction App
Key Details Increased period prediction accuracy up to 15%. Challenge Improve period prediction accuracy for application users Solution Linear and tree-based models to make better predictions of the menstrual cycle Technologies and tools Machine Learning: regression and gradient boosting models Scientific (Predictive Analytics Python stack): Python, NumPy, scikit-learn, LightGBM, XGBoost; Web-application: hug (web-framework), Gunicorn (web-server) … Read more