An interactive web application developed with Streamlit, designed for making predictions using various machine learning models. The app dynamically generates forms and pages from JSON configuration files. ⭐ If you found this helpful, consider starring the repo!
I added a new feature to predict sleep disorders based on various health and lifestyle metrics. This addition enhances the predictive capabilities of the application by focusing on sleep-related analysis.
Issue Resolved
This PR resolves #180
Changes Made
Implemented a models to predict sleep disorders based on features such as Sleep Duration, Quality of Sleep, Physical Activity Level, Stress Level, BMI, and more.
Added the preprocessing pipeline to include scaling and encoding of features.
Added data visualizations and exploratory analysis in the notebook.
[ ] I have thoroughly reviewed and updated the requirements.txt file to include any new packages
[ ] The predict.py file includes a properly implemented model_details() function, or the notebook contains this function to print a detailed model report. The model will not be accepted without this function, as it is essential for generating the necessary model details.
[ ] I have added relevant tests (if necessary).
[ ] I have added comments in the code where needed.
[ ] This PR is submitted under Hacktoberfest.
[ ] This PR is submitted under GirlScript Summer of Code (GSSoC-Extd).
Description
I added a new feature to predict sleep disorders based on various health and lifestyle metrics. This addition enhances the predictive capabilities of the application by focusing on sleep-related analysis.
Issue Resolved
This PR resolves #180
Changes Made
Checklist
requirements.txt
file to include any new packagespredict.py
file includes a properly implementedmodel_details()
function, or the notebook contains this function to print a detailed model report. The model will not be accepted without this function, as it is essential for generating the necessary model details.