sierraporta/Curso-Introduccion-Machine-Leaning

Introducción a Machine Learning con Python

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Experimental

This course helps master's students understand and apply machine learning techniques to real-world problems. You'll learn how to take raw data, build predictive models, and interpret their results for tasks like classification or trend analysis. This is ideal for graduate students looking to leverage data for smarter decision-making in various fields.

No commits in the last 6 months.

Use this if you are a master's student new to machine learning and want to learn how to build and evaluate predictive models from real-world data.

Not ideal if you are an experienced data scientist or already deeply familiar with machine learning algorithms and their implementation.

data-analysis predictive-modeling statistical-learning graduate-studies business-intelligence
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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Language

Jupyter Notebook

License

GPL-3.0

Last pushed

Jun 24, 2023

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