Building Your First Machine Learning Solution
Machine learning is exciting, yet, it may sound more complicated than it is actually is. This course empowers you with the necessary theory and practice to become confident about how machine learning works by building a hands-on solution.
What you'll learn
Machine learning is perceived as a difficult, challenging, and math-intensive topic. In this course, Building Your First Machine Learning solution, you will discover the magic of machine learning and understand the theory behind it. First, you will learn what machine learning is, its types, its applications, why it is getting traction, and what its phases are. Next, you will discover how vital the data is for machine learning solutions, how to source it, analyze it, and pre-process it for subsequent machine learning steps. Finally, you will explore how to train your machine learning algorithms and evaluate them. Moreover, you will develop knowledge around recent trends in machine learning, such as AI as a Service. When you are finished with this course, you will have a firm understanding of machine learning with the ability to build a basic regression machine learning solution.
Table of contents
- Overview 1m
- Revisiting ML Pipeline 2m
- Introducing Data Analysis 3m
- Univariant Numerical Analysis 9m
- Bivariant Numerical Analysis 6m
- Demo: Descriptive Stats - Part One 6m
- Demo: Descriptive Stats - Part Two 3m
- Data Visualization 7m
- Demo: Data Visualization - Part One 5m
- Demo: Data Visualization - Part Two 3m
- Summary 1m