Description
Course Machine Learning with Python for Everyone Part 1: Learning Foundations 2nd Edition. These videos stay away from heavy math and focus on showing you how to code introductory machine learning concepts using Python, scikit-learn. Our focus is on explanations and code that help you understand machine learning. We’ll minimize the sheer math and you’ll learn how to load small, simple datasets and use them in your projects. This course briefly reviews some of the mathematical operations behind machine learning models and algorithms. If you are familiar with the basic concepts of machine learning and want an experienced person to help you turn these concepts into running code, this course is for you. If you have basic coding knowledge and want to see how Python can create basic machine learning models, this course is for you. The prerequisite of the course is a basic understanding of programming in Python (variables, basic control flow, simple scripts).
What you will learn in the course
- Construction and application of classification and simple regression models
- Evaluate learning performance with train-test partitions
- Evaluate learning performance with appropriate metrics for classification and regression
- Evaluate the resource utilization of your learning models
Course specifications Machine Learning with Python for Everyone Part 3: Fundamental Toolbox
- Publisher: Oreilly
- teacher: Mark Fenner
- Training level: beginner to advanced
- Training duration: 5 hours 54 minutes
Course headings
Images of the course Machine Learning with Python for Everyone Part 1: Learning Foundations 2nd Edition
Sample video of the course
Installation guide
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Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.5 GB
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