First Algorithm in Machine Learning | Linear Regression | What is Linear Regression? | AI with AI
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In this video, you will discover the linear regression algorithm, how it works, and how you can best use it on your machine learning projects.
Linear regression is perhaps one of the most well-known and well-understood algorithms in machine learning, based on supervised learning.
Linear Regression is all about drawing a best-fitting line over the data.
The core idea is to obtain a line that best fits the data. The best fit line is the one for which the total prediction error for all data points is as small as possible. Error is the distance between the point of the regression line.
Who draws the best fitting line over the data? We don’t have to worry about that, we will just apply this algorithm, and the machine will do that for us.
So, first of all, plotting of data points is important, so that we understand the nature of the data. If you find data is linear in nature and you want to predict the next continues values, then this is the algorithm that we can think of applying.