# ML Club Video: Linear Regression to Neural Networks
Date: 2023-11-06
Tags: Linear Regression, Neural Network

> Update: There is a new video on this topic from 2024.  Please refer to the new video [here](/posts/linear-to-nn) as it is updated with more info.
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[Interactive: Interactive visualization](https://www.youtube.com/embed/XKM53w8Unc8)In this ML club session, we go from Linear Regression to Neural Networks in just one go!

Linear Regression is all about lines of best fit for a given dataset. But how do we find lines of best fit? Here is a quick answer:

> 1. Start with a random line
> 2. For each data point in dataset

> a) Find how “close” the line is to the point
> 
> b) Depending on how close/far the line is, move the line a step towards the point

Step 2 can be repeated multiple times (called **epochs**)

In 3D, a “line of best fit” is a plane of best fit. And in higher dimensions? That’s when we get into **neural networks**. And once we represent our models as networks, we can start doing high-dimensional **curves of best fit**.

**But how do neural networks get trained? Why use neural networks? Watch the video to know more!**

*If the embedded video above does not work, here’s the link:* [*https://drive.google.com/file/d/17N08DVvCioo-3QDfLxhjkg7XwopFpY7W/view?usp=sharing* ](<https://drive.google.com/file/d/17N08DVvCioo-3QDfLxhjkg7XwopFpY7W/view?usp=sharing >)