Machine Learning for Production Specialization (MLOps)

This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Machine Learning Engineering for Production on Coursera offered by deeplearning.ai.

Instructor: Prof. Andrew Ng

Reminder

As a CS major student and a long-time self-taught learner, I have completed many CS related MOOCs on Coursera, Udacity, Udemy, and Edx. I do understand the hard time you spend on understanding new concepts and debugging your program. The reason I am creating this repository is purely for academic use (in case for my future use). I am really glad if you can use it as a reference and happy to discuss with you about issues related with the course even further deep learning techniques.

Please only use it as a reference. The quiz and assignments are relatively easy to answer, hope you can have fun with the courses. Open to contribution by others.

Program Structure

Course 1: Introduction to Machine Learning in Production

Week 1: Overview of the ML Lifecycle and Deployment

1. Graded Quiz 1
2. Graded Quiz 2

Week 2: Select and Train a Model

1. Graded Quiz 1
2. Graded Lab Assignment

Note

The content that is written inside each Course folder in the README has been picked up from the [course website].