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ArnavJ19/Depression-Prediction-Using-Health-Data

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The project analyzes the BRFSS 2021 dataset to predict depressive disorders. It involves data cleaning, handling missing values, and balancing using SMOTE. Several models, including Logistic Regression and Gradient Boosting, were built to improve accuracy and achieve the objective.

active 2024-09-222025-03-03 (UTC)

Complete coverage27,202 / 27,204 hourly files (100%) · 2 absent upstream2023-08-152026-09-21 (UTC)
Events
12
Pushes
8
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

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Line chart, 163 days from 2024-09-22 to 2025-03-03. Pushes: 8 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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ArnavJ198800

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.