leotnnz Goto Github PK

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致力于将李航博士《统计学习方法》一书中所有算法实现一遍

100-days-of-ml-code

100 Days of ML Coding

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

artificial-intelligence-and-data-science-pro

Regularly Updated | Collection of the best Data Science and AI Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet

awesome-cheatsheets

:books: Ultimate CheatSheets(Tutorials&MindMap), overview of syntax, features and practical tips, collection of useful code snippets, go from zero to hero at fly. :dizzy: 干货满满的全栈开发速学速查手册集锦

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-material

awesome material

book

:books: All programming languages books

book-1

关于技术类的电子书，为了去中心化，保存在git上，不至于丢失，[侵删]

books

A selection of useful books

books-1

我读过的书。嘿嘿，分享给你。

books-2

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

cs229-

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

data-science-interviews

Data science interview questions and answers

data-science-notes

数据科学的笔记以及资料搜集

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dive-into-deep-learning-pytorch-pdf

本项目对中文版《动手学深度学习》中的代码进行了整理

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hsuantienlin_machinelearning

interview_python

关于Python的面试题

keep-deep-learning

keep 神经网络学习

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lihang-code

《统计学习方法》的代码实现