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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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GN
说明： python实现的经典GN算法 亲测可用但是运行效率较低(The classical GN algorithm implemented by Python can be used for pro testing, but its running efficiency is low)
- 2019-12-18 15:06:54下载
- 积分：1
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kaggle叶子分类
利用一维卷积神经网络将叶子进行分类，里面包含的有数据(Classification of leaves using one dimensional convolution neural network)
- 2018-07-12 20:41:43下载
- 积分：1
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kmeans_waveform
说明： 基于UCI数据集Waveform的kmeans聚类，python语言实现，其中包括无噪声聚类和利用PAM产生20%高斯噪声的聚类。(Using K-means method to analyze the database Waveform from UCI platform. Coding language is Python.)
- 2021-05-12 21:30:03下载
- 积分：1
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python检测鼠标键盘是否按下的程序
python 检测鼠标键盘是否按下去，该源码程序调用了user32.dll,在windows下面可以实现极快的鼠标键盘按下检测等各种功能，是开发游戏、辅助程序、其他功能性软件必不可少的部分，建议开一个线程实施检测
- 2023-03-19 14:20:03下载
- 积分：1
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MIKE11 data_input converter
可以提取CAD中点的坐标信息并转为MIKE地理信息数据输入格式(The coordinate information of midpoint in CAD can be extracted and converted to MIKE geographic information data input format.)
- 2020-06-24 09:20:01下载
- 积分：1
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DBScan-master
说明： 这是使用Python实现的DBScan。像Numpy、熊猫这样的图书馆也被使用过。DBScan算法已经在两个变色龙数据集t4.8k和t5.8k上进行了测试。然后利用matplotlib将得到的结果可视化。为了便于比较，本文将所得到的输出结果与DBScan实现的skLearning库的结果进行了比较。计算每个数据集的同质性和分离度，以观察簇间的相似性和不同的度量。epsilon和min值分别为8.5和16.5。(This is a DBScan implemented using Python. Libraries like Numpy and Panda have also been used. DBScan algorithm has been tested on two chameleon datasets t4.8k and t5.8k. Then the results are visualized by matplotlib. In order to facilitate comparison, the output results are compared with those of skLearning library implemented by DBScan. The homogeneity and segregation of each data set are calculated to observe the similarity and different measures between clusters. Epsilon and min were 8.5 and 16.5 respectively.)
- 2019-06-13 18:33:28下载
- 积分：1
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决策树
说明： 机器学习中绘制ROC曲线，是非常关键的，老师编的ROC曲线，亲测有效。(It is very important to draw ROC curve in machine learning. The ROC curve compiled by the teacher is effective in pro test.)
- 2019-11-08 16:12:31下载
- 积分：1
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火车票分析助手(项目源码下载)-Python项目开发案例集锦11.zip
火车票分析助手(项目源码下载)-Python项目开发案例集锦11.zip
- 2019-09-22下载
- 积分：1
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TDLAS_py
说明： TDLAS成像算法，包括福伊特曲线拟合和光谱分析(TDLAS Imaging Algorithms, including Ford Curve Fitting and Spectral Analysis)
- 2020-06-24 16:20:02下载
- 积分：1
