This Project focuses on predicting the likelihood of depression among students by applying different algorithms "Machine Learning Algorithms" & "Deep Learning Algorithms".
Essentially, I applied Logistic regression, support vector machine (SVM), artificial neural network, and convolutional neural network models to analyze the student data and predict the signs of depression.
- Data preprocessing and cleaning of the student dataset
- Implementation of Logistic Regression
- Implementation of Support Vector Machine (SVM)
- Implementation of Artificial Neural Network (ANN)
- Implementation of Convolutional Neural Network (CNN)
- Performance comparison between traditional ML models and Deep Learning models
- Visualizations for a better understanding of results