This repo contains a work-in-progress curriculum for a machine learning book club at Code Climate. It is based around Google's machine learning crash course.
- Review Prerequisites and Prework and brush up on Python
- Read Quick Introduction to pandas and do the associated exercises
- Read TensorFlow Hello World and do associated exercises
- Read TensorFlow Programming Concepts and do associated exercises
- Read Creating and Manipulating Tensors (exercises optional)
- Discuss pandas library and review the exercises
- Discuss TensorFlow basics and review the exercises
- Work through as a group the exercises from Creating and Manipulating Tensors
- Complete Exercise #2 from Creating and Manipulating Tensors
- Watch Introduction to ML lecture (3 min)
- Watch Framing lecture (15 min)
- Complete associated readings for Framing
- Watch Descending into ML lecture (20 min)
- Complete associated readings for Descending into ML
- Review solutions to Exercise 2 from Creating and Manipulating Tensors
- Review content from lectures / readings
- Work through check your understanding from Framing
- Work through check your understanding from Descending into ML
- [OPTIONAL] Review the content that will be discussed during the meeting
- Watch Reducing Loss video lecture
- Go through Reducing Loss readings
- Work through Reducing Loss playground exercise
- Work through Reducing Loss check your understanding
- [OPTONAL] Work through any playground exercises not done in week 1