The linked repository contains project files and lecture notes for Udacity’s Machine Learning Engineer Nanodegree program which I started working on in September 2016.
The Machine Learning Engineer Nanodegree is an online certification. It involves
- Courses in supervised learning, unsupervised learning and reinforcement learning.
- Six projects.
Courses include lecture videos, quizzes and programming problems. These courses were developed by Georgia Tech, Udacity, Google and Kaggle.
See also: My notes for Udacity’s Self-Driving Car Engineer Nanodegree.
Program Outline:
0. Exploratory Project: Titanic Survival Exploration
- Model Evaluation and Validation
- Project 1: Predicting Boston Housing Prices
- Supervised Learning
- Project 2: Building a Student Intervention System (Predicting whether or not students will fail so schools can intervene to help them graduate)
- Unsupervised Learning
- Project 3: Creating Customer Segments (Segmenting customers based on spending in different categories)
- Reinforcement Learning
- Project 4: Train a Smartcab to Drive (Implement Q-learning algorithm)
- Machine Learning Specialisation of Choice
3 Comments on “Machine Learning Engineer Nanodegree (Udacity)”
Very cool. Did you find the nanodegree useful? I’m just starting it myself…
Yep I did find it useful – it gave me good intuition about different approaches to and algorithms in machine learning and practice going through the whole process (gather or preprocess data, get a feel for it, start predicting, refine algorithm, write up a report so people understand what you’ve been doing). I’d claim I might not have got my next internship without it (the experience). 🙂 Hope you enjoy the nanodegree!
Thank you very much, some materials really helpful for autonomous robot navigations