About This Course
This practical course, developed in partnership with Coding Dojo, targets individuals who have introductory level Python programming experience. The course teaches students how to start looking at data with the lens of a data scientist by applying efficient, well-known mining models in order to unearth useful intelligence, using Python, one of the popular languages for Data Scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, classification and more! All of the data sets used in this course are gathered live-data or inspired by real-world domains that can benefit from machine learning.
What you'll learn
- What machine learning is and the types of problems it is adept to solving
- How to represent raw data in a manner conducive to deriving valuable information
- How to use various data visualization techniques
- How to use principal component analysis and isomap intelligently to simplify your data
- How to apply supervised learning algorithms to your data, such as random forest and support vector classifier
- Concepts such as model selection, pipelining, and cross validation
Meet the instructors
Authman Apatira is the lead instructor at Coding Dojo's Dallas bootcamp location. He started game and graphics programming in 1994, transitioned over to web programming in the early 2000's, worked professionally with business intelligence and automation, and currently works on curriculum development at Coding Dojo. His interests lie in artificial intelligence, machine learning, alternative power research, and world religions.
Jonathan works as a content developer and project manager for Microsoft focusing in Data and Analytics online training. He has worked with trainings for developer and IT pro audiences, from Microsoft Dynamics NAV to Windows Active Directory.
Before coming to Microsoft, Jonathan worked as a consultant for a Microsoft partner, implementing Microsoft Dynamics NAV solutions.