Machine Learning (Stanford University)

In order to equip myself with more modern data analysis tools I enrolled in Stanford Online’s popular Machine Learning course (offered through Coursera) before starting my internship. As of Fall 2018, I’m currently in the process of rewriting the course assignments in python (interactive jupyter notebooks).

I completed all of the projects and quizzes (using MATLAB) and finished with a grade of 95.7%.

Topics covered in the course included:

• Single & Multivariate Regression
• Logistic Regression
• Neural Networks
• Machine Learning System Design
• Support Vector Machines (SVMs)
• Unsupervised Learning (k-means)
• Anomoly Detection
• Large Scale Machine Learning
• Photo OCR (example)