Depression Score Prediction Project

Predicted user’s depression score using multiple linear regression and stepwise regression. Classified data using k-nearest neighbors and naive Bayes Classifier. Used Python to preprocess lifelogging data to identify user’s life patterns.

GitHub

Technologies: Python, Jupyter Notebook