Skip to content

Term project for the course "Machine Learning and Pattern Recognition (CSE 583)".

Notifications You must be signed in to change notification settings

MayankMurali/Drug-Disease-Prediction-and-its-Feature-Selection-Analysis

Repository files navigation

Drug-Disease-Prediction-and-its-Feature-Selection-Analysis

Term project for the course "Machine Learning and Pattern Recognition (CSE 583)", Spring 2020.

Summary

Developed a predictive model using binary classification algorithms to identify potent drug candidates using the existing knowledge of drugs. The dataset was obtained from Kaggle having features like drug chemical structures, drug-drug and drug-disease correlations.

About

Term project for the course "Machine Learning and Pattern Recognition (CSE 583)".

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published