In this course students will learn concepts and practical skills that are necessary to perform an end-to-end data analytics project.  Topics include: understanding business problems, collecting business data, exploring the data, preparing the data for data analytics, selecting and training a model, fine-tuning a model, presenting the solution, launching, monitoring and maintaining the system.

The current textbook is: Aurelien Geron, Hands-on Machine Learning with Scikit-Learn and Tensorflow, O’Reilly Media, 978-1-491-96229-9, 2017.

The course is structured around weekly module.  Each weekly module contains the following:

- Weekly Study Guide

- Lecture Video

- Lecture Presentation

- Quiz

- Self-evaluation Quiz (optional)

- Weekly Discussion

- Assignments 

Students should follow the above order for study.  

Midterm exam will be given in week 8.  The course project should start in week 8 also.