This course examines SciPy's curve fitting capabilities, introducing participants to techniques for modeling and fitting data. It covers essential functions, fitting algorithms, and their applications, equipping learners with the skills to perform precise curve fitting and model data efficiently in Python.
Overview
Syllabus
- Unit 1: Introduction to Curve Fitting
- Fitting Linear Models in Python
- Evaluate Model Fit with MSE
- Fitting Linear Models to Curves
- Modeling Petal Data with Curves
- Unit 2: Fitting Complex Curves with SciPy
- Fitting Quadratic Curves to Data
- Extend Exponential Decay with Curve Fitting
- Plotting Time-Current Data
- Exponential Curves and Data Peaks
- Unit 3: Exploring Initial Guess Importance in Curve Fitting
- Fitting a Sine Wave Perfectly
- Tuning Initial Guesses for Success
- Curve Fitting with Initial Guess