yashksaini-coder/Prodigy-InfoTech

A machine learning engineer leverages programming and statistical expertise to design, implement, and deploy predictive models. They bridge the gap between data science theory and practical applications, solving real-world problems through innovative machine learning solutions.

33
/ 100
Emerging

This collection of projects demonstrates how machine learning models can be built to solve practical problems across various industries. It showcases solutions that take raw data, process it, and generate predictions or classifications, such as estimating real estate prices or recognizing hand gestures from images. Anyone looking to understand or implement machine learning solutions for predictive modeling or data analysis would find these examples useful.

No commits in the last 6 months.

Use this if you are a machine learning engineer, data scientist, or an aspiring one, looking for practical examples of how to apply machine learning to real-world datasets and problems.

Not ideal if you are looking for an out-of-the-box software application to use directly without programming knowledge.

predictive-modeling customer-segmentation image-classification data-analysis machine-learning-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 10 / 25

How are scores calculated?

Stars

25

Forks

3

Language

Jupyter Notebook

License

MIT

Last pushed

Jul 13, 2024

Commits (30d)

0

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