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Visualize Regression with Varying Polynomial Degrees Using Manim

Learn how to visualize regression with varying polynomial degrees using the Manim library. This project focuses on creating animations and designing transformations between the animations.

Visualize Regression with Varying Polynomial Degrees Using Manim

You will learn to:

Animate text with Python.

Animate LaTeX with Python.

Animate graphs in 2D.

Animate graph transformations.


Machine Learning Fundamentals


Mathematical Animation


Basic understanding of Python

Basic understanding of plotting

Familiarity with LaTeX




Project Description

Manim is an animation engine programmed as a Python library. This library offers functions to display and animate text, shapes, LaTeX, and plots. It’s a community library available freely under an MIT license, initially developed by Grant Sanderson. Manim can help create high-quality and feature-rich mathematical animations with a low-code approach. These animations can be used to animate and teach technical concepts easily.

In this project, we’ll learn to visualize the concept of regression. We’ll also learn to create an animation that illustrates polynomial regression for various degrees of polynomials.

Project Tasks


Getting Started

Task 1: Import Libraries

Task 2: Generate Data


Building Regression Model

Task 3: Split the Data into Training and Test Sets

Task 4: Create a Regression Model

Task 5: Make Predictions Using the Model

Task 6: Calculate the Error


Visualizing the Regression

Task 7: Create Sets of Axes

Task 8: Plot Data Points

Task 9: Add Labels and a Heading to the Graph

Task 10: Prepare the Manim Scene for Multiple Polynomial Degrees

Task 11: Animate the Polynomial Regression

Task 12: Add Transformations in Animations