tanveer-kader/ml-projects-py

Kickstart AI through Machine Learning and Deep Learning Projects (20+)

40
/ 100
Emerging

This collection offers ready-to-use examples for solving common prediction and classification challenges. It takes various real-world datasets—like financial records, medical readings, or market data—and produces predictions or classifications, such as whether a loan will be approved or if a patient has a certain disease. Data analysts, researchers, and students can use this to quickly prototype solutions for practical business or scientific problems.

No commits in the last 6 months.

Use this if you need practical, pre-built examples to understand and implement machine learning solutions for classification, regression, or recommendation tasks using common datasets.

Not ideal if you are an advanced machine learning practitioner looking for cutting-edge research implementations or highly customized deep learning architectures.

predictive-modeling data-analysis healthcare-analytics financial-forecasting customer-segmentation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

54

Forks

10

Language

Jupyter Notebook

License

MIT

Last pushed

Dec 14, 2024

Commits (30d)

0

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