About this document

Essential Tools for Data Science Workflow by yogendrabaghele00 is a document available to read on EtoBox.

The document outlines various tools used in Data Science, categorized into programming, visualization, machine learning, big data, cloud, and deployment tools. Each category includes key features, popular tools, and use cases, emphasizing the importance of open-source tools like Jupyter and Google Colab for collaboration and efficiency. It also maps tools to the Data Science workflow stages, highlighting their specific applications in data collection, cleaning, modeling, and deployment.

Author

yogendrabaghele00

Language

EN