课程概述
In this 2-hour long project-based course, you will learn how to implement Linear Regression using Python and Numpy. Linear Regression is an important, fundamental concept if you want break into Machine Learning and Deep Learning. Even though popular machine learning frameworks have implementations of linear regression available, it's still a great idea to learn to implement it on your own to understand the mechanics of optimization algorithm, and the training process.
Since this is a practical, project-based course, you will need to have a theoretical understanding of linear regression, and gradient descent. We will focus on the practical aspect of implementing linear regression with gradient descent, but not on the theoretical aspect.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
热门审阅
DW
May 27, 2020
This topic is useful for Algebraic Linear Regression Equation.
AR
Apr 2, 2020
Explain more about what the code do, as I've to google it and try to figure out which wasted a lot of time, thank you
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51 - Linear Regression with Python 的 52 个评论（共 52 个）
创建者 Kamil K
•Nov 21, 2025
OK, but not all explanations were clear
创建者 Rajneesh B
•Oct 21, 2024
Okay proect