comitivaesperanca/data
🎲 Repositório para armazenar todos os componentes referentes a Data Science / Data Engineering do projeto
This repository provides a ready-to-use platform for machine learning tasks, specifically designed for those working with agricultural data like soybean analysis. It allows you to run machine learning models and manage data workflows. Data scientists and machine learning engineers focusing on agricultural applications would find this beneficial for developing and deploying their models.
No commits in the last 6 months.
Use this if you are a data scientist or ML engineer who needs a pre-configured environment with Apache Airflow and Jupyter to develop and orchestrate machine learning models, especially for agricultural data.
Not ideal if you are not familiar with Docker, Apache Airflow, or Jupyter, or if your primary need is not machine learning model development and deployment.
Stars
18
Forks
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Language
Jupyter Notebook
License
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Category
Last pushed
Oct 27, 2023
Commits (30d)
0
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