nbshare
nbshare.io/notebooks/data-sciencenbshare provides notebooks and learning materials for data analytics with Python and R.
Looking for something like AI Expert Roadmap? Here are 23 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 3 are free or have a free plan and 4 are open source.
This repository provides a roadmap to becoming an artificial intelligence expert.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | nbshare | — | Not stated | Web |
| 2 | ML-From-Scratch | — | Yes | — |
| 3 | Microsoft Azure | — | Not stated | Linux, Web, Windows |
| 4 | pattern classification | — | Yes | — |
| 5 | NirDiamant/GenAI Agents | — | Not stated | — |
| 6 | AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics | — | Yes | — |
| 7 | Analytics Vidhya | — | Not stated | Web |
| 8 | Homemade Machine Learning | — | Yes | — |
| 9 | Introduction to Machine Learning with Python | — | Not stated | — |
| 10 | Weka | — | Not stated | Web |
nbshare provides notebooks and learning materials for data analytics with Python and R.
ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning.
Azure for Students provides cloud services, developer tools, and credits for building apps and exploring AI.
This repository collects tutorials and examples for learning machine learning and pattern classification.
This repository contains more than 50 tutorials and implementations for generative AI agent techniques.
This repository provides a tutorial implementation of AutoML for batch and online learning.
Analytics Vidhya’s DataHack platform offers data science challenges, hackathons, and learning resources.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Notebooks and code for the book "Introduction to Machine Learning with Python".
Weka 3 provides open source machine learning and data mining software written in Java.
This Coursera course teaches supervised machine learning, regression, and classification with Python.
Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.
Stanford CS336 provides course schedules, assignments, and materials for language modeling from scratch.
Tutor AI answers questions, explains concepts, and helps learners follow custom learning pathways at their own pace.
The Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.
Machine Learning Mastery shares guidance for developers learning to apply machine learning.
Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
Made With ML offers lessons on designing, developing, deploying, and improving production machine learning applications.
TutorialSearch searches and compares online tutorials and courses across learning platforms.
MLU-Explain provides visual explanations of machine learning concepts through educational materials.
Udacity’s Introduction to Machine Learning course covers foundational machine learning and data analysis.
Chip Huyen writes about AI system design and bringing AI applications into production.
The ICML site provides information about the International Conference on Machine Learning in Lille.
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