## 机器学习

- [最火的3个Python机器学习库_墨竹-CSDN博客_python 机器学习库](https://blog.csdn.net/kevinelstri/article/details/61614621)
- [10 minutes to pandas — pandas 1.2.4 documentation](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html)
- [如何保存sklearn训练好的算法模型 - 知乎](https://zhuanlan.zhihu.com/p/47213465)
- [sklearn训练模型的保存与加载 - 百家齐鸣 - 博客园](https://www.cnblogs.com/ceo-python/p/11979978.html)
- [强烈推荐Github上的100个Python项目！ - SegmentFault 思否](https://segmentfault.com/a/1190000024577427?utm_source=tag-newest)
- [scikit-learn使用joblib.dump()持久化模型过程中的问题详解--python - 程序园](http://www.voidcn.com/article/p-nctvbcpx-bbz.html)
- [Tensorflow 模型持久化 - JavaShuo](http://www.javashuo.com/article/p-krsyyfnf-mm.html)
- [File:Bland-Alman Plot with CI's on LOA.png - Wikipedia](https://en.wikipedia.org/wiki/File:Bland-Alman_Plot_with_CI%27s_on_LOA.png)
- [Recall（召回率） Precision（准确率） F-Measure E值 sensitivity（灵敏性） specificity（特异性）漏诊率 误诊率 ROC AUC - CSDN博客](https://blog.csdn.net/abcd1f2/article/details/51887164)
- [精确度，召回率，真阳性，假阳性 - CSDN博客](https://blog.csdn.net/lydia2012924/article/details/78088336/)
- [绘制ROC曲线、找截断值，教你两种软件操作方法！](https://zhuanlan.zhihu.com/p/27671234)
- [Hung-yi Lee](http://speech.ee.ntu.edu.tw/~tlkagk/courses.html)
- [GitHub - carefree0910/MachineLearning: Machine learning algorithms implemented by pure numpy](https://github.com/carefree0910/MachineLearning)
- [CS229: Machine Learning](http://cs229.stanford.edu/)
- [CS229: Machine Learning](http://cs229.stanford.edu/syllabus.html)
- [介绍 | TensorFlow 官方文档中文版](http://www.tensorfly.cn/tfdoc/get_started/introduction.html)
- [MNIST 入门 | TensorFlow 官方文档中文版](http://www.tensorfly.cn/tfdoc/tutorials/mnist_beginners.html)
- [ageron/handson-ml: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.](https://github.com/ageron/handson-ml)
- [Foundations of Machine Learning](https://bloomberg.github.io/foml/#people)
- [1. Black Box Machine Learning - YouTube](https://www.youtube.com/watch?v=MsD28INtSv8&list=PLnZuxOufsXnvftwTB1HL6mel1V32w0ThI&index=2&t=0s)
- [Python机器学习--降维 - ranjiewen - 博客园](https://www.cnblogs.com/ranjiewen/p/7458554.html)
- [SVM技术网站首页](http://see.xidian.edu.cn/faculty/chzheng/bishe/index.htm)
- [Machine Learning Using Heart Sound Classification Example Video - MATLAB](https://ww2.mathworks.cn/videos/machine-learning-using-heart-sound-classification-example-1515709249154.html)
- [scikit-learn: machine learning in Python — scikit-learn 0.21.3 documentation](https://scikit-learn.org/stable/index.html)
- [Introduction · sklearn 中文文档](https://sklearn.apachecn.org/)
- [StratifiedKFold 和 KFold 的比较 - 简书](https://www.jianshu.com/p/c84818b56fa0)
- [sklearn.model_selection.KFold - 每天进步一点点2017 - CSDN博客](https://blog.csdn.net/kancy110/article/details/74910185)
- [机器学习 —— 基础整理（五）线性回归；二项Logistic回归；Softmax回归及其梯度推导；广义线性模型 - Determined22 - 博客园](https://www.cnblogs.com/Determined22/p/6362951.html)
- [What is Machine Learning? Machine Learning Courses – deeplearning.ai](https://www.deeplearning.ai/)
- [数据挖掘之一——M5P树状回归演算法 - 宽客在线](https://www.quantinfo.com/Article/View/272.html)
- [硬投票和软投票](http://www.360doc.com/content/20/0707/15/52334415_922789688.shtml)
- [Evvail | 生信工具小套件-bioinfokit | Omics - Hunter](https://evvail.com/2020/08/11/1171.html)
- [NumPy, SciPy, and Pandas: Correlation With Python – Real Python](https://realpython.com/numpy-scipy-pandas-correlation-python/)
- [Plotting a diagonal correlation matrix — seaborn 0.11.2 documentation](http://seaborn.pydata.org/examples/many_pairwise_correlations.html)
- [pandas 根据列的值选取所有行_Hhhy云帆的博客-CSDN博客](https://blog.csdn.net/kyriehe/article/details/80422213)
- [https://apachecn.gitee.io/sklearn-doc-zh/#/](https://apachecn.gitee.io/sklearn-doc-zh/#/)
- [18种和“距离(distance)”、“相似度(similarity)”相关的量的小结_学无止境--有分享有梦想的博客-CSDN博客_相似度](https://blog.csdn.net/soft_zzti/article/details/87527919)
- [multiple comparisons - Similarity measures between curves? - Cross Validated](https://stats.stackexchange.com/questions/27861/similarity-measures-between-curves)
- [geometry - How can I define a measure of similarity between two line segments in $\mathbb{R}^2$? - Mathematics Stack Exchange](https://math.stackexchange.com/questions/860503/how-can-i-define-a-measure-of-similarity-between-two-line-segments-in-mathbbr)
- [en.wikipedia.org](https://en.wikipedia.org/wiki/Fr%C3%A9chet_distance)
- [弗朗明歇距离（frechet distance） - 知乎](https://zhuanlan.zhihu.com/p/265457722)
- [曲线相似度衡量——曲线距离计算Fréchet distance详解与python计算_呆萌的代Ma的博客-CSDN博客_python两条曲线相似度](https://blog.csdn.net/weixin_35757704/article/details/122924944)
- [A Concise Explanation of Learning Algorithms with the Mitchell Paradigm - KDnuggets](https://www.kdnuggets.com/2018/10/mitchell-paradigm-concise-explanation-learning-algorithms.html)
- [scikit-learn (sklearn) 官方文档中文版简介](https://www.cntofu.com/book/170/readme.html)
- [开发工具 | 你真的会用jupyter吗？ - 知乎](https://zhuanlan.zhihu.com/p/83252017)
- [安装Jupyter NbExtensions Configurator插件_sun___shy的博客-CSDN博客](https://blog.csdn.net/sun___shy/article/details/105977423)
- [Pandas 中 SettingwithCopyWarning 的原理和解决方案 - 简书](https://www.jianshu.com/p/72274ccb647a)
- [Python pandas库中的isnull()详解_python_脚本之家](https://www.jb51.net/article/177313.htm)
- [sklearn.neighbors.NearestNeighbors — scikit-learn 0.24.2 documentation](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html)
- [超参数选择：网格搜索GridSearchCV - 灰信网（软件开发博客聚合）](https://www.freesion.com/article/94331155892/)
- [3.2. Tuning the hyper-parameters of an estimator — scikit-learn 0.24.2 documentation](https://scikit-learn.org/stable/modules/grid_search.html#grid-search)
- [Correlation analysis in Python](https://www.reneshbedre.com/blog/correlation-analysis.html)
- [bioinfokit documentation - Renesh Bedre](https://reneshbedre.github.io/blog/howtoinstall.html#correlation-matrix-plot)
- [17 Statistical Hypothesis Tests in Python (Cheat Sheet)](https://machinelearningmastery.com/statistical-hypothesis-tests-in-python-cheat-sheet/)
- [STATEXT - Statistics Study](https://www.statext.com/download.php)
- [(21 封私信 / 80 条消息) heatmap - 搜索结果 - 知乎](https://www.zhihu.com/search?type=content&q=heatmap)
- [相关系数矩阵与热力图heatmap - 简书](https://www.jianshu.com/p/871ee6cbcb22)
- [sklearn.manifold.MDS-scikit-learn中文社区](https://scikit-learn.org.cn/view/459.html)
- [tensorflow给图片打标签_交通标识分类TensorFlow实现_weixin_39883260的博客-CSDN博客](https://blog.csdn.net/weixin_39883260/article/details/111167366)
- [https://sklearn.apachecn.org](https://sklearn.apachecn.org/#/)
- [AdaBoost 算法的解释 | Python 与机器学习](https://mlblog.carefree0910.me/posts/707464b/)
- [贝叶斯优化BayesianOptimization_MusicDancing的博客-CSDN博客_贝叶斯优化](https://blog.csdn.net/MusicDancing/article/details/117018398)
- [贝叶斯优化(Bayesian Optimization)只需要看这一篇就够了,算法到python实现 - 知乎](https://zhuanlan.zhihu.com/p/131216861?utm_source=qq)
- [This TensorFlow binary is optimized with oneAPI Deep Neural Network Library.._CV小的博客-CSDN博客](https://blog.csdn.net/weixin_43217958/article/details/113785750)
- [The Sequential model  |  TensorFlow Core](https://www.tensorflow.org/guide/keras/sequential_model?hl=zh-cn)
- [六、降维：使用 PCA 压缩数据集](http://fe4ml.apachecn.org/#/docs/6.%E9%99%8D%E7%BB%B4%EF%BC%9A%E7%94%A8_PCA_%E5%8E%8B%E7%BC%A9%E6%95%B0%E6%8D%AE%E9%9B%86)
- [十八、Keras](https://dsai-notes.apachecn.org/#/18)
- [随机森林原理 - 知乎](https://zhuanlan.zhihu.com/p/54286825)
- [磐创AI：智能客服，聊天机器人，TensorFlow，PyTorch，Keras，深度学习，机器学习，自然语言处理，计算机视觉。](https://panchuang.net/)
- [TensorFlow教程：TensorFlow快速入门教程（非常详细）](http://c.biancheng.net/tensorflow/)
- [循环神经网络系列RNN、LSTM及变种 | 码农家园](https://www.codenong.com/cs106898515/)
- [CNN 和RNN 中input 长度不一致问题](http://www.wjhsh.net/baiting-p-8148656.html)
- [API Reference — deslib 0.4.dev documentation](https://deslib.readthedocs.io/en/latest/api.html)
- [Welcome to DESlib documentation! — deslib 0.4.dev documentation](https://deslib.readthedocs.io/en/latest/index.html)
- [CNN学习笔记——CNN是怎么做到图像识别的？_知了爱啃代码的博客-CSDN博客_cnn图片识别](https://blog.csdn.net/rongsenmeng2835/article/details/106755082/)
- [聚类模型评价（python） - 知乎](https://zhuanlan.zhihu.com/p/78920991)
- [聚类性能评估-轮廓系数 - 知乎](https://zhuanlan.zhihu.com/p/108163834)
- [聚类算法评估指标 – 标点符](https://www.biaodianfu.com/cluster-score.html#%E8%BD%AE%E5%BB%93%E7%B3%BB%E6%95%B0_Silhouette_Coefficient)
- [聚类的评测方法 - 知乎](https://zhuanlan.zhihu.com/p/436376880)
- [如何评价聚类结果的好坏？ - 知乎](https://www.zhihu.com/question/19635522)
- [科研常用显著性分析方法汇总及选择（T检验，Mann-Whitney U test检验，方差分析等） - 知乎](https://zhuanlan.zhihu.com/p/140909755)
- [(7 封私信 / 2 条消息) Spearman相关系数 - 搜索结果 - 知乎](https://www.zhihu.com/search?type=content&q=Spearman%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0)
- [Decision Tree Algorithm, Explained - KDnuggets](https://www.kdnuggets.com/2020/01/decision-tree-algorithm-explained.html)
- [Stacking Ensemble Machine Learning With Python](https://machinelearningmastery.com/stacking-ensemble-machine-learning-with-python/)
- [机器学习：集成学习_GeniusAng的博客-CSDN博客_集成学习](https://blog.csdn.net/weixin_45707277/article/details/120596614)
- [使用sklearn计算随机森林模型中各特征的重要性_LRJ-jonas的博客-CSDN博客_sklearn随机森林特征重要性计算](https://blog.csdn.net/m0_55097528/article/details/124678516)
- [数据特征分析：相关性分析（Pandas中的corr方法）_圻子-的博客-CSDN博客_相关性corr](https://blog.csdn.net/weixin_44507435/article/details/105142544)
- [6大最常用的Java机器学习库一览_智者之家-CSDN博客_java 机器学习](https://blog.csdn.net/chekongfu/article/details/84231789)
- [mloss | All entries](https://mloss.org/software/)
- [Machine Learning Project at the University of Waikato in New Zealand](https://www.cs.waikato.ac.nz/ml/index.html)
- [Java Machine Learning Library (Java-ML)](http://java-ml.sourceforge.net/)
- [Hard voting and Soft Voting - emanlee - 博客园](https://www.cnblogs.com/emanlee/p/13466950.html)
- [Z-normalization | SAX-VSM](https://jmotif.github.io/sax-vsm_site/morea/algorithm/znorm.html)
- [Overview (weka-stable 3.8.5 API)](https://weka.sourceforge.io/doc.stable-3-8/)