lukas/ml-class resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2593 stars · 1182 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of bite-sized machine learning and deep learning tutorial projects for engineers, each with starter code in Jupyter Notebooks and an accompanying ~10 minute video. Projects progress from beginner (simple image classifiers) to advanced (RNNs, text generation) with no ML background assumed.

Use cases

• learn deep learning from scratch
• build my first image classifier
• understand convolutional neural networks with hands-on code
• learn RNNs for time series prediction
• practice text classification and sentiment analysis
• find beginner machine learning tutorials with videos

When to choose

• you're an engineer with Python skills but no ML background
• you want short, self-contained projects with video walkthroughs
• you prefer learning by running runnable notebook code

When to avoid

• you need production ML tooling or a framework
• you want comprehensive theory or a full curriculum
• you need tutorials on modern LLMs or transformer architectures

Facets

learning-resource · maturity active

machine-learning deep-learning nlp computer-vision machine-learning deep-learning tutorials education python cross-platform jupyter-notebooks tutorials deep-learning beginner-friendly videos binder

Member repositories

For agents

markdown · JSON · MCP: product_card(name="lukas/ml-class")