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python算法库
python算法资料，提供了不少关于python的算法，值得一看。(Python algorithm data, provide a lot of Python algorithm, it is worth seeing.)
- 2018-05-23 08:44:27下载
- 积分：1
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TSP_new
这是一个用于解决TSP问题的、适用于初学者的贪心算法。(This is a used to solve the TSP problem, for beginners to greedy algorithm.)
- 2014-12-16 18:27:44下载
- 积分：1
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6d85523f7a9f
Implementation of Confusion matrix in python
- 2011-04-17 15:24:25下载
- 积分：1
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Machine-Learning-master
说明： 实现强化学习，完成人工智能，实现机器学习，完成深度学习(Realize reinforcement learning, artificial intelligence, machine learning and deep learning)
- 2021-03-24 08:58:11下载
- 积分：1
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tcpserver
说明： Python实现的TCP server，已成功应用，可直接部署在服务器上(The TCP server implemented by Python has been successfully applied and can be directly deployed on the server)
- 2019-11-29 09:14:04下载
- 积分：1
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基于Python爬虫爬取天气预报信息
基于Python爬虫爬取中国天气网的天气预报信息
- 2021-05-06下载
- 积分：1
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《Python机器学习算法》赵志勇-源代码
《Python机器学习算法》赵志勇-源代码
- 2021-05-06下载
- 积分：1
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hsmm
说明： 隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分：1
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9781783989324-MASTERING_PYTHON_DESIGN_PATTERNS
Python Design Pattern
- 2018-09-08 02:14:40下载
- 积分：1
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bilibilidanmu
bilibilidanmubilibilidanmubilibilidanmubilibilidanmubilibilidanmubilibilidanmubilibilidanmu
- 2022-05-17 16:51:56下载
- 积分：1
