Machine Learning

Hey everyone! I think I can help answer some of these questions with a little more insider info. :)

We are going to offer Machine Learning Basics in 2018, but we have some content to build first. As you might expect, we want to do it in an approachable and comprehensive way. There's a TON to learn or investigate about Data Science and Machine Learning, and we want to make it easy to follow specific tracks based on your skills or needs.

As soon as we have more detailed plans, we will add them to the public roadmap. In the mean time, there's plenty you can start working on to build up the skills needed to learn Machine Learning with Python.

Here's a list that might help. You don't necessarily need to follow this order, but this covers a lot of the basic skills needed to work with data in Python, which is the foundation for how we will teach Machine Learning:

• Python Basics
• Python Collections
• Object-Oriented Python
• Using Databases in Python
• Python Testing
• Data Analysis Basics
• Set Up a Local Python Environment in Windows | Mac
• CSV and JSON in Python
• Introduction to Anaconda
• Jupyter Notebooks
• Introduction to Data Visualization with Matplotlib (coming soon)
• Cleaning and Preparing Data (coming soon)
• NumPy Basics (coming soon)
• Introduction to pandas (coming soon)
• Data Visualization with Bokeh

We also just published Build a Chatbot with Watson APIs, which is a great way to utilize machine learning tools from IBM as simple API calls.

Lastly, we recently circulated a survey about Machine Learning, so if you haven't filled it out yet, please do so and help us understand what y'all are looking for!