ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

83.7k

Stars

+4.9k

Gained

6.2%

Growth

Jupyter Notebook

Language

View on GitHub → ↑0.2% this week

💡 Why It Matters

ML-For-Beginners addresses the challenge of onboarding new engineers into machine learning concepts and practices. It is particularly beneficial for ML/AI teams looking to enhance their skills and understanding of fundamental algorithms and data science principles. The repository is a well-structured educational resource, making it suitable for teams aiming for a production-ready solution without extensive prior knowledge. However, it may not be the best fit for advanced practitioners seeking in-depth, cutting-edge techniques. The growth trend of 6.2% in stars over 96 days indicates a healthy adoption rate, suggesting that it is gaining traction among users.

🎯 When to Use

This repository is a strong choice for teams looking to build foundational knowledge in machine learning quickly. Teams with advanced requirements or those needing specific custom solutions should consider alternatives.

👥 Team Fit & Use Cases

This open source tool for engineering teams is ideal for data scientists, machine learning engineers, and educators. It is often included in training programmes, workshops, and projects that require a solid grounding in machine learning principles.

🎭 Best For

Machine Learning and AI Engineer

🏷️ Topics & Ecosystem

data-science education machine-learning machine-learning-algorithms machinelearning machinelearning-python microsoft-for-beginners ml python r scikit-learn scikit-learn-python

📊 Activity

Latest commit: 2026-02-06. Over the past 97 days, this repository gained 4.9k stars (+6.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.