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数据挖掘-实用机器学习技术(中文第二版)

于 2019-03-21 发布 文件大小:50687KB
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  Python 从入门到实践 这是一本很好的编程教程(Python From newer to practice)

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  • predprey
    模拟岛上的生态系统,有陆地生物和鸟类,但是不包含地底生物。 (Predator-Prey Simulation four classes are defined: animal, predator, prey, and island where island is where the simulation is taking place, i.e. where the predator and prey interact (live). A list of predators and prey are instantiated, and then their breeding, eating, and dying are simulted.)
    2015-05-24 18:02:21下载
    积分:1
  • 键盘
    说明:  使用Python语言,基于pynput模块开发的,按键记录和重播的简易按键精灵。(Using Python language, based on pynput module development, key recording and replay of the simple key wizard.)
    2020-06-18 09:28:38下载
    积分:1
  • my_local_moran
    说明:  用于计算全局莫兰指数的QGIS插件,可衡量地理要素的空间自相关程度(a plugin to calculate Moran'I)
    2020-12-10 22:49:18下载
    积分:1
  • hmm_ner_organization-master
    说明:  结合HanLP提供的针对机构名的HMM语料,实现了基于HMM模型的机构名实体识别算法。(Implementing Code Extraction of Institution Names with HMM)
    2020-06-25 18:20:02下载
    积分:1
  • Ch3
    AUTO MPG FRXDTCVB RETDYFG 5RTFGNH 6TYFUGH
    2016-07-08 21:17:36下载
    积分:1
  • python-snap7-master (1)
    说明:  Python source SNAP7 lib
    2020-05-21 12:39:01下载
    积分:1
  • 卷积神经网络
    说明:  卷积神经网络原理介绍,实验使用,仅供参考(The principle of convolution neural network is introduced and used in experiment for reference only)
    2020-03-15 17:54:57下载
    积分:1
  • meep4py
    meep是由mit的研究组开发的用于模拟电磁场问题的开源软件包。meep4py是meep的python接口(python wrapper of the well-kown opensource FDTD package: meep, developed by research group in MIT)
    2012-06-06 21:52:13下载
    积分:1
  • bp算法
    说明:  这是用python语言编写的bp神经网络算法,用来评估算法的正交验证得分和平均准确率(This is a BP neural network algorithm written in Python language, which is used to evaluate the orthogonal verification score and average accuracy of the algorithm)
    2019-12-01 21:14:22下载
    积分:1
  • knn
    说明:  以图像处理和knn算法为基础,利用knn算法,在python开发环境中设计了一个手写数字识别系统,该系统采用28*28的模板对图新分成784块提取手写数字的784个特征,在二值图像数据基础上,通过朴素贝叶斯分类器算法,对0~9这十类手写数字进行学习和分类。(Based on image processing and KNN algorithm, a handwritten digit recognition system is designed in Python development environment by using KNN algorithm. The system uses 28*28 template to divide the graph into 784 blocks to extract 784 features of handwritten digits. On the basis of binary image data, it learns and classifies the ten types of handwritten digits, 0-9, through Naive Bayesian classifier algorithm.)
    2019-04-29 11:06:29下载
    积分:1
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