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machine-learning-roadmap is an open-source educational project that provides a visual and conceptual guide to the most important ideas and tools in machine learning. The repository organizes machine learning knowledge into a structured roadmap that helps learners understand how different concepts connect within the field. It outlines the typical workflow of solving machine learning problems, starting from problem formulation and data preparation to model training and evaluation. The roadmap also highlights the major technologies and frameworks commonly used in machine learning development. In addition to describing technical tools, the project includes recommended learning resources that help users study the underlying mathematics and algorithms behind machine learning systems. The roadmap is often used as a high-level orientation tool for beginners who want to understand the broader landscape of machine learning.
Features
- Visual roadmap illustrating major machine learning concepts
- Guidance on the machine learning development process
- Overview of tools and frameworks used in ML projects
- Sections explaining mathematics behind machine learning algorithms
- Curated learning resources for studying machine learning topics
- Concept map connecting data science, ML, and deep learning fields
Project Samples
