reading-notes

Readings Class 13 Linear Regressions

Why is this important?

Linear regression is important for understanding data trends
Train test split evaluates the performance of a ML model demonstrating if it handles well with new unseen

Reading Questions

“Linear Regression is the straight line that best fits a set of scattered data points”. “Linear regression is a fundamental ML algorithm due to its comparatively simple and core properties” source

First you need to import the LinearRegression Class and define it

linear regression class definition

Then you create the actual mode by defining arrays based on the x and y axises of your data and creating an instance of the linear regression class with the x and y data. You can then print the coefficient, Intercept, Slope and a response to it.

linear regression implementation

source for images

The purpose of splitting the dataset into train and test sets is to simulate how a model would perform on new/unseen data. source It contributes to gauging how well a ML model will react to new data and predicting outcomes of data.

Things I want to know more about

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