https://github.com/ujblockchain/python_linearregression

Linear Regression of Uber and Lyft ride-hailing data
https://github.com/ujblockchain/python_linearregression

linear-regression python

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Linear Regression of Uber and Lyft ride-hailing data

• Host: GitHub
• URL: https://github.com/ujblockchain/python_linearregression
• Owner: ujblockchain
• License: mit
• Created: 2024-02-13T07:30:57.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-02-15T09:39:46.000Z (over 2 years ago)
• Last Synced: 2025-03-04T08:13:04.984Z (over 1 year ago)
• Topics: linear-regression, python
• Language: Jupyter Notebook
• Homepage: https://blockchain.uj.ac..za
• Size: 2.38 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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# SARChI - Python: Linear Regression

South Africa-Switzerland Bilateral Research Chair in Blockchain Technology aims to explore blockchain integrations with real-world applications and development in Agric-food.

## Context

As a research center, our focus is more than just blockchain technology, but we have expertise in web development, data analysis, data science, and machine learning development. In this repository, look at a popular algorithm used in machine learning solutions, regression. We introduce **linear regression** and the mathematics behind the algorithm. We use the fundamental gained from our [Machine Learning with Python](https://youtube.com/playlist?list=PLYAUzWboAWPgPbusvNP1vBEHMM_HeOne5&si=_z1VLO3O_7vmCnZ7), and apply linear regression to determine the price of an Uber/Lyft trip. 

## Dataset

The dataset used for the linear regression demonstration is [Uber & Lyft Cab Prices](https://www.kaggle.com/datasets/ravi72munde/uber-lyft-cab-prices). 

## Methods

In the notebook, we analyse Uber and Lyft ride-hailing data from Boston, United States of America. Prices of ride hailing services fluctuate regularly due to factors such like demand-bursts or availability constraints, therefore we dive into the dataset to uncover relationships that influence the price of a trip. 

## Resources

- [linear Regression Using R: An Introduction to Data Modelling](https://stats.libretexts.org/Bookshelves/Computing_and_Modeling/Book%3A_Linear_Regression_Using_R_-_An_Introduction_to_Data_Modeling_(Lilja))