Statistics-For-Data-Science-Project

Topic: Predicting Student Depression Using Machine Learning

This Project focuses on predicting the likelihood of depression among students by applying different algorithms "Machine Learning Algorithms". Essentially, I applied Logistic regression and support vector machine (SVM) models to analyze the student data and predict the signs of depression.

✨ Features

• Data preprocessing and cleaning of the student dataset
• Implementation of Logistic Regression
• Implementation of SVM
• Performance comparison between models
• Visualizations for better understanding of results