Course Overview
Offerings
- Weekly 2 classes (3-hour duration per class)
- 6 months overall duration
- Practice tests – once a week
- Hands-on classes
- Industry expert sessions
- Course completion certificate
What you’ll learn
- Introduction to Machine Learning
- Programming in Python – numpy, pandas, matplotlib
- Supervised learning – KNN, Naïve Bayes, Decision Tree, SVM, ensemble methods, linear regression, logistic regression
- Unsupervised – K-Means, hierarchical clustering, dimensionality reduction methods e.g. PCA, t-SNE
- Model training, testing, performance evaluation
- Feature Engineering
- Neural Networks
- Capstone Project