Alternatives and similar repositories for Machine-Learning:

Users that are interested in Machine-Learning are comparing it to the libraries listed below

• Relph1119 / statistical-learning-method-camp
  统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp
  ☆196Updated 2 years ago
• RedstoneWill / MachineLearningInAction-Camp
  ☆275Updated 6 years ago
• fengdu78 / Learning-from-data
  记录Learning from data一书中的习题解答
  ☆78Updated 5 years ago
• apachecn / awesome-data-comp-solution
  数据科学/人工智能比赛解决方案汇总
  ☆530Updated 4 years ago
• DeqianBai / Your-first-machine-learning-Project---End-to-End-in-Python
  这是一个完整的，端到端的机器学习项目，非常适合有一定基础后拿来练习，以提高对完整机器学习项目的认识
  ☆382Updated 6 years ago
• fengdu78 / 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sc…
  ☆166Updated 6 years ago
• apachecn / fastai-ml-dl-notes-zh
  [译] fast.ai 机器学习和深度学习中文笔记
  ☆414Updated 3 years ago
• keefecn / python_practice_of_data_analysis_and_mining
  《Python数据分析与挖掘实战》随书源码与数据
  ☆280Updated 7 years ago
• fire717 / Machine-Learning
  机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）
  ☆226Updated last year
• Relph1119 / MachineLearningInAction-Camp
  机器学习实战
  ☆33Updated 5 years ago
• YouChouNoBB / data-mining-introduction
  数据挖掘入门介绍
  ☆291Updated 6 years ago
• greebear / deeplearning.ai-notes
  吴恩达《深度学习》学习笔记(xmind)、代码视频讲解
  ☆455Updated 5 years ago
• Pysamlam / Tips-of-Feature-engineering
  A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!
  ☆673Updated 4 years ago
• fuqiuai / lihang_algorithms
  用python和sklearn两种方法实现李航《统计学习方法》中的算法
  ☆338Updated 6 years ago
• Y1ran / Machine-Learning-in-Action-Python3
  Data&code for Machine-Learning-in-Action by Python3 | 《机器学习实战》数据与Python3源码
  ☆419Updated 2 years ago
• apachecn / ntu-hsuantienlin-ml
  台湾大学林轩田机器学习笔记
  ☆294Updated 4 years ago
• monkeyDemon / Learn_Dive-into-DL-PyTorch
  Datawhale第10期组队学习活动：《动手学深度学习》Pytorch版的练习代码
  ☆89Updated 5 years ago
• RedstoneWill / HsuanTienLin-ML-Camp
  ☆54Updated 6 years ago
• AIspeakeryhl / tensorflow-
  ☆48Updated last year
• Pysamlam / Machine-Learning-Knowledge
  🤓 Important machine learning knowledge, each article deeply analyzes theoretical knowledge
  ☆118Updated 5 years ago
• fengdu78 / DataSciComp
  A collection of popular Data Science Competitions
  ☆55Updated 6 years ago
• HadXu / ML-From-Scratch
  机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。
  ☆292Updated 5 years ago
• apachecn / xgboost-doc-zh
  XGBoost 中文文档
  ☆569Updated last year
• TingNie / Machine-learning-in-action
  个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也加了一些自己的修改，以及注释
  ☆299Updated 7 years ago
• apachecn / seaborn-doc-zh
  [译] seaborn 0.9 中文文档
  ☆168Updated last year
• learning511 / Stanford-Machine-Learning-camp
  ☆144Updated 6 years ago
• huaxz1986 / git_book
  教材对应的源码
  ☆322Updated 6 years ago
• dayeren / Kaggle_Competition_Treasure
  Describe past Kaggle solutions
  ☆372Updated 5 years ago
• fengdu78 / machine_learning_beginner
  机器学习初学者公众号作品
  ☆2,230Updated 4 years ago
• Freemanzxp / GBDT_Simple_Tutorial
  python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification ar…
  ☆733Updated 5 years ago