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CURVE FITTING ONRAMP

Learn the basics of curve fitting with the Curve Fitter app. You will learn
about what makes a fit the best, how to compare multiple fits, and postprocess
fit results to determine the most efficient driving speed for an electric
vehicle.


COURSE MODULES


INTRODUCTION

Familiarize yourself with curve fitting and the course.

Lessons:
 * Course Overview

 * Fit Data Interactively


FIND A BEST FIT

Fit a Polynomial to data in the Curve Fitter App.

Lessons:
 * What is a Best Fit

 * Find a Best Fit


STATISTICAL COMPARISONS OF MULTIPLE FITS

Fit a variety of models to data and choose the best model.

Lessons:
 * Compare Multiple Fits

 * Measures of Goodness of Fit

 * Avoid Overfitting

 * Model Selection


FIT A CUSTOM MODEL

Fit a custom model of an electric vehicle to the range data.

Lessons:
 * Build a Custom Model

 * Call a Custom EV Model

 * Use a Custom Model in Curve Fitter


POSTPROCESS FIT RESULTS

Work with fit results.

Lessons:
 * Fit Postprocessing Functions

 * Analyze Many Datasets with Generated Code


CONCLUSION

Learn next steps and give feedback on the course.

Lessons:
 * Additional Resources

 * Survey


OPTIMIZATION ONRAMP

Learn the basics of solving optimization problems in MATLAB using the
problem-based approach.


STATISTICS ONRAMP

Get started using statistical methods for analysis in MATLAB.


MACHINE LEARNING ONRAMP

Learn the basics of practical machine learning methods for classification
problems.


MATLAB ONRAMP

Get started quickly with the basics of MATLAB.


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CURVE FITTING ONRAMP

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Learn the basics of curve fitting with the Curve Fitter app. You will learn
about what makes a fit the best, how to compare multiple fits, and postprocess
fit results to determine the most efficient driving speed for an electric
vehicle.


COURSE MODULES


INTRODUCTION


FIND A BEST FIT


STATISTICAL COMPARISONS OF MULTIPLE FITS


FIT A CUSTOM MODEL


POSTPROCESS FIT RESULTS


CONCLUSION


ABOUT THIS COURSE

Format:Self-paced
Length:About 1.5 hours
Language:EnglishEnglish


PREREQUISITES:

 * MATLAB Onramp


AUTHORED BY:

Ben Placek
MathWorks


RELATED COURSES


OPTIMIZATION ONRAMP

Learn the basics of solving optimization problems in MATLAB using the
problem-based approach.


NEW
This course is newly release


STATISTICS ONRAMP

Get started using statistical methods for analysis in MATLAB.


MACHINE LEARNING ONRAMP

Learn the basics of practical machine learning methods for classification
problems.

View all self-paced courses
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