YoVDO

Least Squares Fit for Web VPython

Offered By: Dot Physics via YouTube

Tags

Vpython Courses Data Analysis Courses Linear Regression Courses Scientific Computing Courses Numerical Methods Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to implement a least squares fit function in Web VPython, as an alternative to numpy's polyfit. Explore the process of creating this function from scratch, with practical examples and code demonstrations. Gain insights into linear regression techniques and their applications in data analysis. Access supplementary resources, including a related video on finding pi from a random walk and an in-depth Medium post on least squares fit, to enhance your understanding of the topic.

Syllabus

Least Squares Fit for Web VPython


Taught by

Dot Physics

Related Courses

Statistics: Making Sense of Data
University of Toronto via Coursera Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax Statistical Learning with R
Stanford University via edX The Analytics Edge
Massachusetts Institute of Technology via edX Regression Models
Johns Hopkins University via Coursera