In this practical, hands-on class you’re going to learn how to use Python for Data Science and Machine Learning.  This course includes two data science and machine learning projects that you can follow step by step.  Even if you already have some experience, or want to learn about the advanced features of Machine Learning and Data Science with Python, this course is for you.

In this class you’ll learn:

• Data cleaning, processing, wrangling, visualization, and manipulation
• Machine Learning and its various practical applications
• How to use the various scripting and libraries within Python
• Machine Learning concepts and algorithms
• Supervised vs unsupervised Machine Learning
• Regression, classification, clustering, and sci-kit learn
• How to build custom data solutions

No matter what the scenario or how complicated a data problem may be, this class gives you the foundational training you need to solve real-world problems using Data Science and Machine Learning with Python – and start pursuing a career in a field that is increasingly in demand as the global reliance on technology grows.

Course Components

• Data Science and Machine Learning with Python Masterclass Training Course
• Data Science for Beginners 4 Books in 1, Park
• Machine Learning Applications Data Science Fundamentals with Python, Paper
• Python for Data Science and Machine Learning, Chan
• Python Programming 3 Books In 1, Test