https://github.com/nathanvilbert/evaluation-of-multiple-ml-algorithms-in-forecasting-avocado-sales-volume-with-python

This research project applies regression analysis techniques, including Gradient Boosting Regressor, Multiple Linear Regression, and Polynomial Regression, to analyze factors influencing avocado sales volume in the USA. By examining variables like Average Price, PLU Codes, Type, and Year, it seeks to uncover patterns and correlations within the U.S
https://github.com/nathanvilbert/evaluation-of-multiple-ml-algorithms-in-forecasting-avocado-sales-volume-with-python

jupyter-notebook machine-learning-algorithms python

Last synced: about 1 month ago
JSON representation

This research project applies regression analysis techniques, including Gradient Boosting Regressor, Multiple Linear Regression, and Polynomial Regression, to analyze factors influencing avocado sales volume in the USA. By examining variables like Average Price, PLU Codes, Type, and Year, it seeks to uncover patterns and correlations within the U.S

• Host: GitHub
• URL: https://github.com/nathanvilbert/evaluation-of-multiple-ml-algorithms-in-forecasting-avocado-sales-volume-with-python
• Owner: NathanVilbert
• Created: 2024-11-04T05:17:19.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-11T14:57:38.000Z (about 2 months ago)
• Last Synced: 2024-11-23T23:18:11.859Z (about 1 month ago)
• Topics: jupyter-notebook, machine-learning-algorithms, python
• Language: Jupyter Notebook
• Homepage:
• Size: 3.31 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Evaluation-of-Multiple-ML-Algorithms-in-Forecasting-Avocado-Sales-Volume-with-Python

This research project applies regression analysis techniques, including Gradient Boosting Regressor, Multiple Linear Regression, and Polynomial Regression, to analyze factors influencing avocado sales volume in the USA. By examining variables like Average Price, PLU Codes, Type, and Year, it seeks to uncover patterns and correlations within the U.S. avocado market. The findings offer valuable insights into sales trends, providing stakeholders with data-driven knowledge to make informed decisions and further investigate key sales drivers in this dynamic industry.

#



  Status



  

    

  

  

    

  





  Tools Used