https://github.com/walkerdustin/python-linear-regression

simple linear regression in python based on coursera andrew ng course
https://github.com/walkerdustin/python-linear-regression

ai linear-regression machine-learning ml numpy python

Last synced: 11 days ago
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simple linear regression in python based on coursera andrew ng course

• Host: GitHub
• URL: https://github.com/walkerdustin/python-linear-regression
• Owner: walkerdustin
• License: mit
• Created: 2022-07-06T00:07:16.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2023-03-11T17:50:17.000Z (over 1 year ago)
• Last Synced: 2024-10-12T02:43:53.373Z (about 1 month ago)
• Topics: ai, linear-regression, machine-learning, ml, numpy, python
• Language: Jupyter Notebook
• Homepage:
• Size: 37.1 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# my own simple linear regression

this is my attempt at creating a linear regression model from scratch  

The model should have the same user interface as sklearn  

model = LinearRegression()  

model.fit(X, Y)  

The only external Resource for this Implementation is the following Formula for regularized Gradient descent, taken from the Original Machine Learning Course from Andrew NG

![formula](./regularized_linear_regression.png)