choose it when you want a community-curated markdown DS learning path rather than a YouTube-playlist-driven curriculum
Your new Mentor for Data Science E-Learning.
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- Jupyter Notebook
- NOASSERTION
data science learning materials / course curriculum
A curated repository of video playlists and written materials that teaches the full data-science stack, from Python and SQL to ML, deep learning and NLP.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
choose it when you want a community-curated markdown DS learning path rather than a YouTube-playlist-driven curriculum
Your new Mentor for Data Science E-Learning.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
choose it when you want a GenAI-specific roadmap with projects and interview prep instead of a general DS curriculum
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
pick it for build-it-yourself AI engineering projects rather than lecture-style DS playlists
Learn it. Build it. Ship it for others.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
pick it for one self-contained, code-first TF deep-learning course instead of a broad multi-topic playlist series; frozen since 2019
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
a links-only index of AI courses; narrower than a full DS curriculum and unmaintained for over two years
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
take it for an Urdu/Hindi Python-for-DS bootcamp with downloadable notebooks; last updated in 2022, so it is a frozen snapshot
This repository contains whole material of 40 days course on Python for Data Science in Urdu/Hindi 2023 Details are here: Registration details of our course is given here: https://www.facebook.com/groups/codanics/permalink/1837695129921140/. More details on the course can be found in this google form: https://forms.gle/kDyUnD1nrN2LF6qy8
use it for ready-made TF2 example code (CNN/RNN/BERT) instead of theory-heavy playlists; unmaintained since 2019
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
choose it only if you need Python DSA interview prep rather than the full DS stack; stale since 2023
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
These projects were analysed and named The-Grand-Complete-Data-Science-Materials among their alternatives. The relationship is not symmetric — how The-Grand-Complete-Data-Science-Materials rates them is a separate judgement, made when The-Grand-Complete-Data-Science-Materials is analysed in its own right.
calls The-Grand-Complete-Data-Science-Materials “A large but stale data-science materials collection; useful if you want a grab-bag of notes and code rather than a structured course.”
All course materials for the Zero to Mastery Machine Learning and Data Science course.