π GitHub Detail
RamaSaiJahnavi/Health-Lifestyle-Analysis
By RamaSaiJahnavi
β¨Machine Learning & Data Analysis project predicting BMI, Stress Level, and clustering health-related features using Python. Implements Regression, Classification (Logistic, KNN, Decision Tree, Random Forest, SVM, Naive Bayes), K-Means & Hierarchical Clustering, with visualizations in Matplotlib & Seaborn.
Live Snapshot
β
Stars
24
π΄
Forks
0
π
License
Unknown
π§©
Type
Jupyter Notebook
About this open-source project
Live information fetched from GitHub.
β¨Machine Learning & Data Analysis project predicting BMI, Stress Level, and clustering health-related features using Python. Implements Regression, Classification (Logistic, KNN, Decision Tree, Random Forest, SVM, Naive Bayes), K-Means & Hierarchical Clustering, with visualizations in Matplotlib & Seaborn.
Default Branch
main
Open Issues
0
Watchers
24