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GitHub / jcsaputra / Comparative-Performance-of-Regression-Models-for-Avocado-Sales-Forecasting-machine-learning-python

Evaluation and comparison of Random Forest, Multiple Linear, and Polynomial regression models for predicting avocado sales volume in the USA, focusing on accuracy and model performance using historical sales data.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jcsaputra%2FComparative-Performance-of-Regression-Models-for-Avocado-Sales-Forecasting-machine-learning-python

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 4.07 MB
Dependencies parsed at: Pending

Created at: 7 months ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 4 days ago

Topics: avocado, jupyter-notebook, linear-regression, machine-learning, machine-learning-algorithms, multiple, polynomial-regression, preprocessing, python, random-forest, sales

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