Linear Regression Algorithm with Code Examples - ML for Beginners!

Hi Everyone, today we will learn about one of my favorite Machine Learning algorithms - Linear Regression! We will use it to predict the y location of a given x, as well as the value of a not yet listed house in Vancouver. To fully understand the algorithm, we will take simple inputs, and we will pass them through the formula step by step. We will see detailed examples of 3 use cases: ⭐ predicting (x,y) coordinates on a graph. ⭐ predicting on a set of entries in a table. ⭐ updating line of best fitting. By the end of this video, you'll be perfectly comfortable with calculating linear regression - completely on your own! You'll be able to compute the slope, y-intercept, and residuals both with math and with code. So what are we waiting for?? let's figure out Linear Regression once and for all! 💪💪💪 Time Stamps: 00:00 - linear regression overview 00:43 - slope 01:49 - y Intercept 02:37 - find y location with math 03:02 - find y location with code 03:34 - features and targets 04:07 - multi-feature linear regression 06:17 - multi-feature code 06:35 - weights 07:18 - sci-kit learn code 07:49 - 3 point linear regression math 09:34 - 3 point linear regression code Credits: 💳 Thumbnail and presentation graphics by Freepik. 💳 Icons by Flaticon.