2023 Winter Session Term 1

This course covers a variety of machine learning algorithms and models, while I learned the fundamentals through practical implementation of prediction or classification tasks. We selected speech emotion detection (SER) as the topic of our final project while developing a trained CNN-LSTM model to reach a final accuracy of 62%.

Assignment 1:
• Regression
• Principal Component Analysis (PCA)
• K-Nearest Neighbors (KNN)

Assignment 2:
• Image Classification using CNNs
• Anomaly Detection using CNNs
• Sentiment Analysis using RNNs

Assignment 3:
• Text Classification using Transformers
• Image Classification using ViT
• Multi-Task ViT

• Google Colab (Python)