C22-098-Fruity-Website

🍏 Capstone Project of MSIB Dicoding 2022 Cycle 3. We plan to build a machine learning model to predict fresh fruit. That way, users are expected to be able to easily separate between fresh and rotten fruit.

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19 Stars

1 Forks

19 Watchers

Jupyter Notebook Language

100 SrcLog Score

Cost to Build

$148.4K

Market Value

$142.6K

How is this calculated?

Growth over time

3 data points · 2023-02-01 → 2026-04-01

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What is the nurmuhimawann/C22-098-Fruity-Website GitHub project? Description: "🍏 Capstone Project of MSIB Dicoding 2022 Cycle 3. We plan to build a machine learning model to predict fresh fruit. That way, users are expected to be able to easily separate between fresh and rotten fruit.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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[email protected]:nurmuhimawann/C22-098-Fruity-Website.git

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