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GitHub / UznetDev / Wild-Blueberry-Prediction

This project focuses on building a regression model to predict crop yield ('yield') using a dataset with various agricultural metrics. We employ extensive data analysis, feature engineering, and model tuning to minimize the model's error.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UznetDev%2FWild-Blueberry-Prediction
PURL: pkg:github/UznetDev/Wild-Blueberry-Prediction

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 20.4 MB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 9 months ago
Pushed at: 9 months ago
Last synced at: 4 months ago

Topics: ai, ana, classic-model, machine-learning, prediction, regression, regression-models, yield

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