dataprofessor/python

Python codes from tutorials on the Data Professor YouTube channel

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/ 100
Emerging

This project provides Python code examples from the Data Professor YouTube channel, demonstrating practical data science workflows. It helps data scientists quickly compare machine learning models and efficiently handle very large datasets. You'll find code that takes your raw data and helps you understand which predictive model performs best, or allows you to analyze massive tables that would otherwise be too slow.

111 stars. No commits in the last 6 months.

Use this if you are a data scientist, analyst, or researcher who needs to quickly prototype and compare different machine learning classification models, or if you need to perform data manipulation and analysis on datasets with billions of rows.

Not ideal if you are looking for a complete, production-ready machine learning framework or if you only work with small datasets that don't require high-performance data handling.

machine-learning-model-comparison large-scale-data-analysis predictive-modeling data-science-prototyping big-data-manipulation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 23 / 25

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Stars

111

Forks

73

Language

Jupyter Notebook

License

Last pushed

Apr 13, 2021

Commits (30d)

0

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