Spandan-Madan/DeepLearningProject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

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This tutorial guides aspiring machine learning practitioners through building a complete machine learning workflow from start to finish. You'll learn how to create your own dataset, apply traditional machine learning techniques, and finally implement deep learning models. It's designed for data science students, researchers, or anyone looking to understand the practical steps of a machine learning project beyond basic neural network training.

4,783 stars. No commits in the last 6 months.

Use this if you want an in-depth, hands-on understanding of every stage of a real-world machine learning project, from data creation to deep learning model implementation.

Not ideal if you're looking for a quick introduction to training pre-existing models or a high-level overview of deep learning concepts without implementation details.

data-science-education machine-learning-workflow deep-learning-project data-preparation model-training

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 22 / 25

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Stars

4,783

Forks

637

Language

HTML

License

MIT

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