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Curve Fitting & Least-Squares Regression Explained Using MATLAB
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This video explains curve fitting and how to "best" fit a curve through a set of data points. Also, it explains how this can be implemented in MATLAB and the main commands to generate the best-fit models.
Chapters:
0:00 Mathematics Introduction
10:13 MATLAB Code Implementation
The code used in this video can be found in the GitHub repository here:
For better video quality, please click on "Settings", and then "Quality" and choose the "720p60" option.
#CurveFitting #BestFitLine #NumericalMethods #CodeDisclosed #Mathematics #MATLAB #Coding #Programming #Polynomials #LeastSquaresFit #RootMeanSquredError #Regression
Chapters:
0:00 Mathematics Introduction
10:13 MATLAB Code Implementation
The code used in this video can be found in the GitHub repository here:
For better video quality, please click on "Settings", and then "Quality" and choose the "720p60" option.
#CurveFitting #BestFitLine #NumericalMethods #CodeDisclosed #Mathematics #MATLAB #Coding #Programming #Polynomials #LeastSquaresFit #RootMeanSquredError #Regression