Machine Learning · 2026
Diabetics risk prediction model
Machine learning project predicting diabetes status from demographic, health, and lifestyle indicators using Logistic Regression and Random Forest.
- Role
- End-End build
- Year
- 2026
- Type
- Machine Learning
The question
Machine learning project predicting diabetes status from demographic, health, and lifestyle indicators using Logistic Regression and Random Forest.
Approach
Built end-to-end in a Jupyter notebook: data cleaning and inspection first, then feature preparation, then the smallest model that could answer the question honestly. The full walkthrough, code, and figures live on GitHub.
Stack
- Python
- Pandas
- Sckitlearn
- Logistic regression
- Random forest