Least Squares Fit for Web VPython
Offered By: Dot Physics via YouTube
Course Description
Overview
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
Introduction to Statistics: Descriptive StatisticsUniversity of California, Berkeley via edX Mathematical Methods for Quantitative Finance
University of Washington via Coursera Dynamics
Massachusetts Institute of Technology via edX Practical Numerical Methods with Python
George Washington University via Independent 統計学Ⅰ:データ分析の基礎 (ga014)
University of Tokyo via gacco