Depression-Data-Analysis
This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.
MIT License
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Ecosystems:
NumPy,
scikit-learn
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2
2
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