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Python Data Science Workflow Guide by RAMZI Azeddine is a document available to read on EtoBox.

What is Python Data Science Workflow Guide about?

This document outlines a Python workflow for data science and business analysis. It recommends taking the Python For Business Analysis (DS4B 101-P) course through Business Science University to learn Python and this workflow. The workflow involves importing and cleaning data with Pandas, transforming and reshaping data, visualizing data with libraries like matplotlib and seaborn, modeling data with libraries like Scikit-Learn, and communicating results with tools like Jupyter notebooks, JupyterLab, Django,

Author

RAMZI Azeddine

Language

EN