You will have built several models under the watch of our teachers. You’ll explore decision trees, classification and regression algorithms, as well as k-means clustering.
All of this will be conducted in Python, giving you an introduction to the key libraries pandas and NumPy.
We firmly believe in classroom-based study versus online learning, because it ensures your teacher is always on-hand to help you with the challenges you encounter.
You’ll also have ongoing access to the course content to take home and work on at your own pace.
Our Machine Learning teachers are Data Scientists.
They come with years of commercial experience.
Priyesh is a Step Function Python teacher and works full-time as a Data Scientist at Collinson Group. Priyesh has a Nuclear Engineering Doctorate form Imperial College, where he also worked as a Post-Doc developing Python based modelling tools.
Priyesh was a student on the Step Function Data Science Professional course in the summer of 2017.
“It was pretty awesome. A relaxed, short course that gave a great insight into how machine learning works. It’s a complex subject that can’t be mastered in a week! But to get great insights and experience from within this field was fantastic.”
TOM FLANAGAN – February 2018 Course
Please note that the details of this Introduction to Python Course syllabus are accurate at the time of printing. There may be some variation in the final syllabus that is taught.
Step Function, February 2018