In this module, we demonstrated how to use Python to conduct a linear regression. We visualized data relationships using scatterplots, fit linear regression models, and interpreted key...

One trick you can use to adapt linear regression to nonlinear relationships between variables is to transform the data according to basis functions. We have seen one version of this before, in...

In this lesson we will learn about linear regression. We will first understand the basic math behind it and then implement it in Python. We will also look at ways of interpreting the linear...

This repository demonstrates how to perform simple linear regression using Python libraries such as pandas, NumPy, and scikit-learn within a Google Colab environment. The dataset used is 'Salary_Data.csv', which contains two columns: Years of Experience and Salary.

Sep 13, 2023 · After understanding the basic idea of linear regression, let’s get into the coding part for the machine learning model. This machine learning project takes different attributes from the data set...

Oct 9, 2024 · Learn how to code a linear regression model in Google Colab using the Keras library by completing this programming exercise.

We can use a scatter plot of the data to see the relationship between yi (ice-cream sales in dollars ($’s)) and xi (degrees Celsius). x='X', . y='Y', . kind='scatter', . ylabel='Ice-cream sales...

Jan 26, 2021 · Linear regression can be defined as a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y).

Linear regression is a fundamental technique in statistics and machine learning for modeling the relationship between two variables. This implementation aims to provide a clear understanding of how linear regression works without relying on external libraries such as scikit-learn.

Mar 22, 2025 · In Python, specifically when working with a linear regression model from the scikit-learn library, the lr.predict() method is used to make predictions on new, unseen data using the trained...