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.