A linear model is a sum of weighted variables that predict a target output value
On this video we will learn how to handle outliers, but what are Outliers, for beginners this might be a new concept. Basically outliers are data points that are either too far, or too low from the average data points or from the media, outliers are usually typing errors by humans, but sometimes they can be real values as well.
With python and some libraries we can remove outliers very easily by using mathematical functions and not absolute numbers. This will allow us later to have a better model of the data.
Check video for Day 3 here: