Recommended Course Sequences
When confronted with the full collection of End-to-End Machine Learning courses, it's natural to wonder where to start. Here are a few course sequences to choose from, depending on your interests, but they are written to be able to stand alone so feel free to follow where your curiosity leads.
Introduction to data science
121. Navigating a data science career
131. Data munging tips and tricks
Python
111. Getting ready to learn Python, Mac edition
112. Getting ready to learn Python, Windows edition
135. Python cookbooks and concepts II
Visualization
137. Signal processing techniques
211. Neural network visualization
Applied machine learning
191. How selected models and methods work
211. Decision trees with Python and Pandas
213. Nonlinear modeling and optimization
Neural networks
312. Build a neural network framework
313. Advanced neural network methods
314. Neural network optimization
13 comments