ML-For-Beginners
Machine Learning curriculum
A structured learning platform providing a comprehensive curriculum for beginners in machine learning and related data science topics
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
70k stars
1k watching
15k forks
Language: HTML
last commit: 12 days ago data-scienceeducationmachine-learningmachine-learning-algorithmsmachinelearningmachinelearning-pythonmlpythonrscikit-learnscikit-learn-python
Related projects:
| Repository | Description | Stars |
|---|---|---|
| microsoft/data-science-for-beginners | A 10-week, 20-lesson curriculum teaching data science fundamentals through interactive lessons and projects | 28,258 |
| microsoft/ai-for-beginners | An educational resource for learning the basics of Artificial Intelligence using practical lessons and code examples in Python | 34,875 |
| microsoft/web-dev-for-beginners | A comprehensive curriculum for learning web development basics with JavaScript, CSS, and HTML | 83,632 |
 gokumohandas/made-with-ml | Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications | 37,603 |
 yorko/mlcourse.ai | An online learning platform covering various machine learning topics from basics to advanced algorithms | 9,789 |
 dotnet/machinelearning-samples | A collection of samples and examples demonstrating the usage of ML.NET for machine learning tasks in .NET applications. | 4,493 |
| dotnet/machinelearning | A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. | 9,045 |
 zuzoovn/machine-learning-for-software-engineers | A structured study plan to help software developers learn machine learning and become a machine learning engineer | 28,179 |
 datatalksclub/mlops-zoomcamp | Teaches practical aspects of productionizing ML services | 11,154 |
 ml5js/ml5-library | Makes machine learning algorithms accessible to web developers | 6,494 |
 ageron/handson-ml | A resource for learning machine learning with Python | 25,212 |
 jindongwang/transferlearning | Provides a comprehensive resource for transfer learning and domain adaptation techniques in deep learning. | 13,467 |
 chiphuyen/machine-learning-systems-design | A resource guide covering the four main steps of designing a machine learning system: project setup, data pipeline, modeling, and serving. | 9,156 |
 justmarkham/scikit-learn-videos | A tutorial series on machine learning with Python using scikit-learn | 3,674 |
 mlflow/mlflow | A platform to manage the entire machine learning lifecycle, from experiment tracking to model deployment. | 18,781 |