awesome-datascience and awesome-ai-ml-dl

These two projects are competitors, as both are curated lists of resources for learning and applying data science, machine learning, and AI.

awesome-datascience
71
Verified
awesome-ai-ml-dl
61
Established
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 28,556
Forks: 6,397
Downloads:
Commits (30d): 39
Language:
License: MIT
Stars: 1,651
Forks: 371
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No Package No Dependents
No Package No Dependents

About awesome-datascience

academic/awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

This repository provides a comprehensive learning path for individuals aiming to understand and apply data science concepts. It organizes a wealth of resources, including tutorials, courses, algorithms, and tools, to help you navigate the field. Whether you're a student, an analyst, or a professional looking to transition into data science, this collection offers a structured guide to go from beginner to solving real-world problems using data.

data science education machine learning basics analytics career learning resources data analysis

About awesome-ai-ml-dl

neomatrix369/awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

This resource provides a curated collection of materials for anyone looking to learn, build, or explore Artificial Intelligence, Machine Learning, and Deep Learning. It offers study notes, guides, tools, and examples across various AI domains. The content helps practitioners in data science, engineering, and related fields to easily find necessary learning materials and practical resources.

AI education Machine Learning workflow Deep Learning reference Data Science learning NLP development

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