https://github.com/anas436/non-linear-regression-analysis-with-python
https://github.com/anas436/non-linear-regression-analysis-with-python
jupyterlab matplotlib-pyplot numpy python3 scikit-learn scipy sklearn-metrics
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/anas436/non-linear-regression-analysis-with-python
- Owner: Anas436
- Created: 2022-08-14T16:25:43.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-08-14T16:29:17.000Z (almost 3 years ago)
- Last Synced: 2025-02-01T15:30:40.827Z (4 months ago)
- Topics: jupyterlab, matplotlib-pyplot, numpy, python3, scikit-learn, scipy, sklearn-metrics
- Language: Jupyter Notebook
- Homepage:
- Size: 117 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Non-Linear-Regression-Analysis-with-Python
## Objectives
After completing this lab you will be able to:
* Differentiate between linear and non-linear regression
* Use non-linear regression model in Python
If the data shows a curvy trend, then linear regression will not produce very accurate results when compared to a non-linear regression since linear regression presumes that the data is linear.
Let's learn about non linear regressions and apply an example in python. In this notebook, we fit a non-linear model to the datapoints corrensponding to China's GDP from 1960 to 2014.