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A collection of projects, tools, and examples for working with Python, PyTorch, and data engineering. Includes tutorials, code snippets, and workflows for machine learning, deep learning, and efficient data processing pipelines.

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Deep Learning and Data Engineering with PyTorch & Python.

Welcome to the Deep Learning and Data Engineering with PyTorch & Python! This repo is a collection of resources, projects, and tools to help you work effectively with Python, PyTorch, and data engineering concepts.

Who Is This For?:

This repository is ideal for:

  1. Myself, as I learn and document my journey in deep learning and data engineering.
  2. Beginners learning Python or PyTorch.
  3. Anyone interested in applying machine learning to solve real-world problems.

What You'll Find Here:

  1. Python Basics: Fundamental programming concepts and best practices.
  2. PyTorch Tutorials: Code examples and projects for deep learning and machine learning using PyTorch.
  3. Data Engineering Workflows: Tools, techniques, and scripts for building and managing efficient data pipelines.
  4. Real-World Projects: Practical implementations to bridge theory and application.

I’ll do my best to update the resources regularly and correct any mistakes along the way (and I’m sure there will be plenty!). In the meantime, feel free to explore the resources. Let’s learn, build, and grow together!

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A collection of projects, tools, and examples for working with Python, PyTorch, and data engineering. Includes tutorials, code snippets, and workflows for machine learning, deep learning, and efficient data processing pipelines.

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