100 Days of ML Code resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

51677 stars · 11604 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated 100-day machine learning curriculum with daily code walkthroughs and infographics covering algorithms like linear regression, logistic regression, KNN, and SVM. It includes datasets and a Chinese translation, popularized by the Siraj Raval challenge.

Use cases

• learn machine learning from scratch in 100 days
• find beginner ML tutorials with infographics
• study implementations of logistic regression and SVM in Python
• follow a structured daily ML coding challenge
• get datasets and code examples for classic ML algorithms

When to choose

• you want a structured, day-by-day path into machine learning
• you prefer visual infographics paired with hands-on Python code
• you are a beginner covering regression, classification, and scikit-learn basics

When to avoid

• you need production-grade ML libraries or tooling
• you want up-to-date coverage of deep learning or LLMs
• you need actively maintained content with recent updates

Facets

learning-resource · maturity maintenance

machine-learning data-science machine-learning deep-learning tutorials education python 100daysofcode infographics tutorial-series scikit-learn self-study

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Avik-Jain/100-Days-Of-ML-Code")