Linear Regression for Machine Learning: an Example

Linear Regression for Machine Learning: an Example

In the previous lesson, we learned about linear regression in machine learning (ML). We understood the basic theory behind linear regression, and we got ready to implement linear regression in a real-life situation using Python in this lesson. We also used an algorithm called Gradient Descent which is an optimization algorithm to find the minimum of a function. Machine learning begins with the most straightforward and basic concept, linear regression in machine learning. Please read the following lesson first if you are not familiar with linear regression in machine learning: https://www.mecharithm.com/linear-regression-for-machine-learning/ This lesson is about the linear regression machine learning…
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Linear Regression for Machine Learning

Linear Regression for Machine Learning

In the previous lessons from the series of lessons on Machine Learning (ML) in robotics, we learned how to set up our project environment and how to code in an IDE using the Python language. This lesson is about linear regression in machine learning (ML). We will understand the basic theory behind linear regression, and we will get ready to implement linear regression in a real-life situation using Python in our next lesson. We will also use an algorithm called Gradient Descent which is an optimization algorithm to find the minimum of a function. Machine learning begins with the most…
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