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e19-co544-maternal-health-risk

Using advanced machine learning techniques, our project predicts maternal health risks during pregnancy and childbirth. By analyzing various factors like medical history and prenatal care data, our model offers timely insights to healthcare providers, enabling proactive interventions and better outcomes for mothers and babies.

eneza_datascience

git and github

lungcancerprediction_modelcomparison

This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.

machinelearning4genomics

Machine Learning for Genomics Course.

ninah-portfolio

python-disease-modeling

A walkthrough of how SIR infectious disease modeling works, along with a do-it-yourself Python COVID model that you can use to simulate a lockdown.

python4bioinformatics

Lecture resources for Python for Bioinformatics EANBiT course.