https://github.com/k4u5h4l/curve-fitting-from-scratch

A regression curve fitted on some points and implemented from scratch using python.
https://github.com/k4u5h4l/curve-fitting-from-scratch

curve-fitting jupyter-notebook numpy python regression

Last synced: 4 days ago
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A regression curve fitted on some points and implemented from scratch using python.

• Host: GitHub
• URL: https://github.com/k4u5h4l/curve-fitting-from-scratch
• Owner: k4u5h4L
• Created: 2020-09-08T11:01:32.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-09-09T04:22:29.000Z (over 4 years ago)
• Last Synced: 2024-11-10T02:13:21.238Z (2 months ago)
• Topics: curve-fitting, jupyter-notebook, numpy, python, regression
• Language: Jupyter Notebook
• Homepage:
• Size: 222 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Curve-fitting & regression from scratch

This is my short implementation of fitting a curve on some given data (real world or otherwise), without using libraries like scikit-learn.

Made in python using numpy and pandas.

## Formula:

y = a + bx + cx2





Σy = n * a + b Σx + c Σx2



Σxy = a Σx + b Σx2 + c Σx3



Σx2y = a Σx2 + b Σx3 + c Σx4





## Note:

- The data is got from [kaggle](https://kaggle.com) from [this page](https://www.kaggle.com/andonians/random-linear-regression)