Week - 1 |
Introduction to machine learning |
Week - 2 |
Data representation, data pre-processing |
Week - 3 |
Supervised learning, classification, regression |
Week - 4 |
Support Vector Machines |
Week - 5 |
Decision trees and nearest neighbor algorithms |
Week - 6 |
Project presentations |
Week - 7 |
Ensemble learning methods |
Week - 8 |
Neural networks and convolutional neural networks |
Week - 9 |
Convolutional neural networks |
Week - 10 |
Unsupervised learning problems |
Week - 11 |
Clustering and association analysis |
Week - 12 |
Dimensionality reduction and feature extraction |
Week - 13 |
Performance metrics and parameter optimization |
Week - 14 |
Project presentations |