https://github.com/sferez/gradient_descent

Multiple Linear Regression, Gradient Descent with Python
https://github.com/sferez/gradient_descent

data-analysis data-science gradient-descent linear-regression python

Last synced: about 1 month ago
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Multiple Linear Regression, Gradient Descent with Python

• Host: GitHub
• URL: https://github.com/sferez/gradient_descent
• Owner: sferez
• Created: 2022-12-08T23:06:05.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-03-21T23:20:02.000Z (about 3 years ago)
• Last Synced: 2025-01-13T14:53:48.236Z (over 1 year ago)
• Topics: data-analysis, data-science, gradient-descent, linear-regression, python
• Language: Jupyter Notebook
• Homepage:
• Size: 3.78 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Multiple Linear Regression, Gradient Descent /w Python

Multiple linear regression is a technique that uses several independent variables in order to predict the outcome of a dependent variable.

## Report

The report is available at Medium: [Article](https://medium.com/python-in-plain-english/multiple-linear-regression-gradient-descent-python-a19d5c41aeae)

![Article](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*Jb25Gl2_lzZrTfZlUoKhAg.png)

## Project aims

- Analyze the datasets and select the best predictors.

- Implement the gradient descent algorithm.

- Test our implementation for a varying number of iteration steps, learning rate, train/test ratio to estimate their effect on the model

- Evaluation for each scenario of the goodness of fit and having a better understanding of the behaviors of multiple linear regression

## Authors

- [@sferez](https://github.com/sferez)