Finished Applied Machine Learning

I just completed CS 498: Applied Machine Learning and I loved every bit of it. We covered both supervised and unsupervised learning and even got into deep learning at the end.

This was the most challenging course I have taken since my senior design project in Senior year of college. I spent on average about 10-12 hours on each assignment (some much longer).

The 10 assignments in 16 weeks included:

1. Classification w/Naive Bayes
2. Classification w/SVM
3. Smoothing Noise w/PCA
4. More PCA
5. Classifying w/Variable Length Inputs
6. Outlier Detection
7. Text bag-of-words Search and classification
8. Classification with Artificial Neural Networks
9. Variational Autoencoders
10. Deep Neural Networks (Take-home Final)

The syllabus can be found at https://courses.engr.illinois.edu/cs498aml/sp2019/

My coursework can be found at https://gitlab.com/aaronblythe/applied_machine_learning

All homeworks received 100% marks.

Certificate