This course is provided by EliteDataScience. It is a comprehensive professional training program for applied machine learning. To earn the course credentials I had to complete a capstone project (Type 2 Diabetes Risks Predictions) .
The number one tip for mastering applied machine learning is to learn in context by tackling interesting projects and this course features six hands-on projects that are completed through interactive Jupyter Notebooks.
The program is focused on building effective models. It taught me the entire machine learning workflow, and how to implement it on multiple real-world datasets.
The course introduced me to the very useful and practical project concepts, rarely taught in other courses, including:
- how to use a project planning funnel to scope out the project
- where to find open-source datasets to use
- a complete execution checklist that will guarantee a fruitful project
- how to host the project on Github
Credentials: