Projects and awesome list for all Data Science fields
- For Natural Language Processing (NLU = NLP + NLG) please check Natural Language Processing repository.
- For Machine Learning algorithms please check Machine Learning repository.
- For Deep Learning algorithms please check Deep Learning repository.
- For Computer Vision please check Computer Vision repository.
Folders with all materials for specific task/domain
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MIT OpenCourseWare |
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Introduction to Computational Thinking |
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MIT 18.S096 Topics in Mathematics w Applications in Finance |
The purpose of the class is to expose undergraduate and graduate students to the mathematical concepts and techniques used in the financial industry. Mathematics lectures are mixed with lectures illustrating the corresponding application in the financial industry. MIT mathematicians teach the mathematics part while industry professionals give the lectures on applications in finance. |
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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Data Science for Beginners - A Curriculum | Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. |
Machine Learning for Beginners - A Curriculum | Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming 'AI for Beginners' curriculum. |
start-machine-learning | A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques |
Data Science Specialization, John Hopkins Coursera | Data Science Repo and blog for John Hopkins Coursera Courses. Blog post - Blogging through the Data Science Specialization, John Hopkins Coursera |
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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Awesome Artificial Intelligence (AI) | A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers. |
ml-surveys | Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc. |
awesome-analytics-engineering | Awesome list of resources for analytics engineers. |
Complete-Life-Cycle-of-a-Data-Science-Project | |
Data Science Learning Path | A complete guide to learn data science for beginners |
Project Based Learning | A list of programming tutorials in which aspiring software developers learn how to build an application from scratch. These tutorials are divided into different primary programming languages. Tutorials may involve multiple technologies and languages. |
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2021: A Year Full of Amazing AI papers- A Review / 📌 [work in progress...] | A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress] |
A curated list of engineering blogs
AI-related tutorials.
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Coursera Comminity Data Science | |
Locally Optimistic | A community for current and aspiring data analytics leaders. Started in NYC in early 2018 as an outgrowth of a slack channel / extremely informal meetup group, we hope to share our thoughts / opinions / experiences / trials / tribulations with others in the community. |
Deepchecks Community | A place to talk about MLOps news, articles, conferences, and really just anything in the MLOps space. |