Python 🐍 Nonlinear Regression Curve Fit
The Scipy curve_fit function determines four unknown coefficients to minimize the difference between predicted and measured heart rate. Pandas is used to import and view the data. A Matplotlib plot is used to see how the initial guess values and the final optimized parameter values compare for generating predictions. An R-squared value is calculated to show how well the predictions and measurements align.
Course Material: https://apmonitor.com/che263/index.php/Main/PythonSolveEquations
Github Repository (see HW04.ipynb): https://github.com/APMonitor/learn_python
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Видео Python 🐍 Nonlinear Regression Curve Fit канала APMonitor.com
Course Material: https://apmonitor.com/che263/index.php/Main/PythonSolveEquations
Github Repository (see HW04.ipynb): https://github.com/APMonitor/learn_python
Schedule: https://apmonitor.com/che263/index.php/Main/CourseSchedule
Solution Videos: https://apmonitor.com/che263/index.php/Main/CourseHomework
Видео Python 🐍 Nonlinear Regression Curve Fit канала APMonitor.com
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