MelihGulum/Comprehensive-Data-Science-AI-Project-Portfolio
A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.
This collection offers ready-to-use project examples for understanding and implementing advanced data science and AI solutions. It provides complete workflows, from raw data to deployed models, across areas like predicting medical costs, detecting face masks, or analyzing soundscapes. The projects are ideal for data science practitioners, machine learning engineers, and data analysts looking to quickly grasp and apply real-world techniques to their own data.
270 stars.
Use this if you are a data professional or enthusiast looking for practical, end-to-end examples to learn from or adapt for your own machine learning, deep learning, or data engineering challenges.
Not ideal if you are looking for a software library to integrate into an existing application, as this is a portfolio of standalone example projects rather than a reusable code package.
Stars
270
Forks
40
Language
Jupyter Notebook
License
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Category
Last pushed
Feb 28, 2026
Commits (30d)
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