Project for applied classical ML course at the Weizmann institute
This repository contains a Disease Diagnosis System leveraging machine learning to accurately detect and diagnose three critical health conditions: Diabetes, Heart Disease, and Parkinson's Disease. The system is designed to assist healthcare professionals and individuals in early diagnosis, enabling timely intervention and better health management
We used various techniques to train and evaluate a model based on loan risk. We used a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
Restrictions on sharing as advised by DataCamp
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