Machine Learning: Unsupervised

This course will introduce you to the world of unsupervised machine learning through clustering & dimensionality reduction techniques. The contents of the course are concise yet comprehensive, also challenging yet straightforward. At first, you will be given a solid mathematical understanding of each algorithm. Also, we will take you through each calculation of each step of each algorithm using toy datasets. Then hands-on sessions will show you how to use the algorithms with python and real data. Finally, there will be quizzes to check your understanding.

Prerequisites:

Course Outline:

1. Introduction
2. Types of Machine Learning
3. Clustering Algorithms
4. KMeans Clustering
5. Hands-on KMeans Clustering with Python
6. Hierarchical Clustering
7. Hands-on Hierarchical Clustering with Python
8. Dimensionality Reduction
9. Principal Component Analysis
10. Hands-on Principal Component Analysis with Python
11. Conclusion

Benefits of the Machine Learning: Unsupervised course:

• 11 lessons in 1 hour
• Self-assessment at the end of the course
• Forum for further discussion & problem solving