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Hands-on projects that address various real-world Machine Learning and Deep Learning challenges.

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moshafieeha/Machine-Learning-and-Deep-Learning-Mini-Projects

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Machine Learning and Deep Learning Mini Projects

Welcome to my repository, for exploring the exciting world of Machine Learning and Deep Learning! This repository is based on the courses that I enrolled in ECE, UT, offering a collection of engaging mini-projects that will equip you with practical skills and a deeper understanding of Deep Learning concepts.

Sharpen Your Skills, Tackle Diverse Problems:

This repository goes beyond theory, providing hands-on projects that address various real-world Deep Learning challenges. Dive into topics like:

XAI

  • Generalization in Classification: Understand how well your models perform on unseen data.
  • Robustness in Classification: Explore how to make your models resilient to adversarial attacks and noise.
  • Interpretability in Tabular Data: Gain insights into your model's decision-making process for structured data.
  • Interpretability in Image Data: Uncover the hidden patterns your models use to recognize objects in images.
  • (and more to come!)

Image

Text

  • Sentiment Analysis with ML: An IMDB sentiment analysis using text preprocessing and multiple ML models.

Stay Tuned!

This repository is constantly evolving, with new projects and exciting challenges being added regularly.