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python 机器学习
机器学习 python代码 预测肿瘤
- 2022-07-23 20:48:51下载
- 积分：1
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机器学习框架techstar-ai-master
一种大数据机器学习框架的源代码，techstar-ai(The source code of a large data machine learning framework, techstar-ai)
- 2019-02-24 08:37:54下载
- 积分：1
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influence-maximization-master
影响力最大化算法，python实现，包含多个算法(influence maximum,search several nodes to make the influence spreading maximum)
- 2018-03-22 16:56:00下载
- 积分：1
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Desktop
第十四届恩智浦智能汽车竞赛信标组openmv阳光算法，只检查动态闪烁的信标灯。(Openmv sunshine algorithm of beacon group in the 14th Enzhipu Intelligent Vehicle Competition only checks dynamic flashing beacon lights.)
- 2020-06-21 12:40:01下载
- 积分：1
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dxf2gcode_b02_source
说明： dxf文件直接转换g编码的源代码,python编写(convert dxf to g code , source code)
- 2011-04-08 15:06:10下载
- 积分：1
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Bilibili_video_download-master
说明： 配置好python后，可以用来下载B站视频，简单易上手，从学习到应用的(Configure Python to download B station video)
- 2020-05-15 17:03:53下载
- 积分：1
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随机森林
说明： 用N来表示训练用例（样本）的个数，M表示特征数目。
输入特征数目m，用于确定决策树上一个节点的决策结果；其中m应远小于M。
从N个训练用例（样本）中以有放回抽样的方式，取样N次，形成一个训练集（即bootstrap取样），并用未抽到的用例（样本）作预测，评估其误差。
对于每一个节点，随机选择m个特征，决策树上每个节点的决定都是基于这些特征确定的。根据这m个特征，计算其最佳的分裂方式。
每棵树都会完整成长而不会剪枝，这有可能在建完一棵正常树状分类器后会被采用）。(N is used to represent the number of training cases (samples), and M is used to represent the number of features.
The number of input features m is used to determine the decision result of a node in the decision tree, where m should be far less than m.
From N training cases (samples), n times are sampled in the way of put back sampling to form a training set (i.e. bootstrap sampling), and the unselected cases (samples) are used to predict and evaluate the error.
For each node, m features are randomly selected, and the decision of each node in the decision tree is determined based on these features. According to these m characteristics, the best splitting mode is calculated.
Each tree will grow completely without pruning, which may be adopted after building a normal tree classifier).)
- 2021-01-28 13:47:33下载
- 积分：1
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l10n_ve_split_invoice
prueba de subida para activar la cuenta
- 2011-11-05 17:13:57下载
- 积分：1
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pinpuganzhi
基于机器学习的认知无线电频谱感知,机器学习的认知无线电频谱感知(Based on machine learning cognitive radio spectrum sensing, machine learning, cognitive radio spectrum sensing)
- 2013-11-23 13:28:59下载
- 积分：1
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Py数据分析jupyter
说明： py数据分析numpy, pandas, matplotlib, pyecharts, seaborn...(py data analysis: numpy, pandas, matplotlib, pyecharts, seaborn...)
- 2019-01-03 18:35:23下载
- 积分：1
