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Machine-Learning-master
聚类算法,DBscan,决策树,逻辑回归,svm等机器学习python代码(DBscan python pythonpython Decision Tree Regression Trees)
- 2018-07-14 09:31:57下载
- 积分:1
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REST-API-SENSOR
说明: Simple code to create a Restful API with flask.
- 2021-01-19 10:28:42下载
- 积分:1
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Function for Bayesian and euclidean, z=mahalanobis_classifier(m,S,X).This function outputs the Mahal
- 2023-02-13 04:25:03下载
- 积分:1
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networkx references(参考手册)
networkx使用参考
- 2019-09-20下载
- 积分:1
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VAE_keras.py
用keras构架实现了VAE(变分自动编码器)(implementation of VAE)
- 2017-09-08 11:57:07下载
- 积分:1
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学生信息管理系统
基于python语言搭建的学生信息管理系统,代码清晰简单便于初学者学习和移植。
- 2022-07-11 00:37:09下载
- 积分:1
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《Python数据分析与应用:从数据获取到可视化》源代码
【实例简介】
- 2021-05-18 10:33:57下载
- 积分:1
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南瓜书PumpkinBook
说明: 这本书是一本机器学习经典书籍西瓜书的参考书,对其中的公式做了详细的推导。(This book is a machine learning classic book watermelon book reference book, which made a detailed derivation of the formula.)
- 2020-12-10 21:36:14下载
- 积分:1
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Learning Data Mining with Python
Python数据挖掘入门与实践
本书作为数据挖掘入门读物,介绍了数据挖掘的基础知识、基本工具和实践方法,通过循序渐进地讲解算法,带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式,呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果,如何使用亲和性分析方法推荐电影,如何使用朴素贝叶斯算法进行社会媒体挖掘,等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining
As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)
- 2019-05-19 03:08:27下载
- 积分:1
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贝叶斯分类器
贝叶斯分类器,利用现有数据对数据进行分类。假设我们已经找到客户是银行是否拖欠或不采用贝叶斯分类器可以将客户端。贝叶斯分类器是基于贝叶斯概率定理。
- 2022-08-12 16:11:17下载
- 积分:1