MIT Applied Data Science and ML Course Projects. This Folder contains a variety of projects done during the 12-week MIT Applied Data Science course. My choices for the Elective Project and the Capstone Project are from Deep Learning module because of my interest in medical image-based problems. The course itself has the following structure and courses:
- Foundations of Data Sciences
- Dat Analysis and Visualization
- Machine Learning (Regression, Regularisation, Bootstrapping, Model Evaluation, Classification)
- Practical Data Science (Descision Trees, Random Forests, Time Series)
- Elective Project
- Deep Learning (Artificial Neural Networks, Convolutional Neural Networks, Graph Neural Networks)
- Recommender System
- Capstone Project
- Additional Self Study Content: Mastering Big Data Analytics, Instroduction to AI on Cloud