Arfazrll/PreProsesingAI
A comprehensive collection of Machine Learning and Deep Learning implementations showcasing various algorithms, techniques, and preprocessing pipelines across multiple domains.
This is a collection of example projects that show how machine learning and deep learning can solve real-world problems. Each project takes raw data (like images, text, or financial records) and processes it to train a model, which then outputs predictions or classifications (e.g., milk quality, loan approval, medical diagnosis). It's designed for data scientists, analysts, or researchers who want to see practical applications of AI across various domains.
Use this if you are a data professional looking for concrete, end-to-end examples of machine learning and deep learning workflows to understand how different algorithms are applied.
Not ideal if you are a non-technical end-user looking for a ready-to-use application, as this project provides code examples rather than a deployable solution.
Stars
7
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 18, 2025
Commits (30d)
0
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