leonvanbokhorst/NoteBooks-Statistics-and-MachineLearning
quality grade F, 29 out of 100Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Courses, books, tutorials, paper collections and curated awesome lists.
Signals: awesome, awesome-list, tutorial, course, learning, roadmap, papers, book
1,909 results
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
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《统计学习方法》相关的机器学习实现代码。Machine Learning.
This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the customized code belongs yourself by referring to this repository.
Learn Machine Learning with Amazon ML Summer School Program 2026. Access session summaries, previous year MCQs, programming questions, and official test material. Practice module-wise coding tasks and build a strong foundation for interviews and real-world applications.
:page_facing_up: :cn: :page_with_curl: 论文阅读笔记(分布式系统、虚拟化、机器学习)Papers Notebook (Distributed System, Virtualization, Machine Learning)
《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。
🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.
A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
This repo contains all the resources related to the massive mass coders machine learning series
A curated list of articles that cover the software engineering best practices for building machine learning applications.
Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
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