搜索资源列表
search
- A Pacman agent needs to efficiently find paths through a maze, either to reach a particular location or collect remaining food quickly. In this project, you will build general search algorithms and apply them to Pacman scenarios. The code for t
PythonDataStructuresandAlgorithms
- python 数据结构与算法的电子文档。-electronic documents of python data structures and algorithms.
python
- python编程实现数据挖掘领域的经典算法:Apriori算法,实现对于关联规则的挖掘。文件中含有程序主体及测试数据集。-Classical data mining algorithms: Apriori algorithm for mining associated rules. Algorithm programmed in JAVA and test dataset are included.
KNN-implement-by-python
- 该程序是用python编写一个K近邻算法,通过该例子可以掌握K近邻算法,是学习数据挖掘的一个高效的算法。-The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms.
recommender-master
- 基于多种算法的推荐系统python实现,其中包括了SVD、聚类分析等多种热门算法,并且有很强的可扩展性(A recommender system based on several kinds of algorithms, written in python)
GA
- 使用python实现遗传算法的基本功能,包括变异,交叉,选择(Using Python to achieve the basic functions of genetic algorithms, including mutation, crossover, selection)
ClassicalMachineLearning
- 几个经典算法的实现,例如决策树,支持向量机,还有单层感知机等(Several classical algorithms are implemented, such as decision tree, support vector machine, and single layer perceptron)
Machine Learning Mastery with Python
- 各种机器学习算法的Python优雅实现,尤其是深度学习部分,应用到了TensorFlow(Python elegant implementation of various machine learning algorithms)
数据结构与算法 Python语言描述_裘宗燕.pdf
- 数据结构与算法 Python语言描述_裘宗燕(Data structures and algorithms described in Python language _ Qiu Yan Zong)
test1
- SVM-无监督机器学习领域的经典算法,在神经网络未出现前,他是机器学习的顶梁柱,现在依然用处广泛,而且其核函数的使用范围早已超脱其本身,该实例对SVM算法进行了实现,具有相应的数据集。(SVM - Unsupervised machine learning in the field of classical algorithms, before the neural network does not appear, he is the mainstay of machine learning,
RL
- 用python搭建了各类常用的强化学习算法的框架,通过迷宫寻路的例子实现各类算法。(The framework of all kinds of commonly used reinforcement learning algorithms is built with Python, and all kinds of algorithms are realized by the example of labyrinth finding.)
Python_Algorithms
- python算法教程,用Python语言来讲解算法的分析和设计,分别介绍了树、图、计数问题、归纳递归、遍历、分解合并、贪心算法、复杂依赖、Dijkstra算法、匹配切割问题以及困难问题及其稀释等内容。(python algorithms,Explain the analysis and design of the algorithm in Python language)
Python Deep Learning - Valentino Zocca
- Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.
python algorithms
- 用python语言实现的常用算法,很适合小白学习入门(Common algorithms implemented in Python language)
入门十大Python机器学习算法(附代码)
- 介绍机器学术十大算法,并且附python实现代码(The ten major algorithms of machine learning are introduced, and the python implementation code is attached.)
机器学习Python程序
- 覆盖了基本常用的机器学习算法。包括线性回归与分类算法;决策树;多种降维算法;优化算法;强化学习等多类算法的Python代码。(It covers the commonly used machine learning algorithms. Including linear regression and classification algorithm; decision tree; a variety of dimensionality reduction algorithm; optimiza
利用Python进行数据分析
- 数据挖掘python语言的学习资料,包括常用算法的实现和工具的使用(Data Mining Pthon Language Learning Materials, including the Implementation of Common Algorithms and the Use of Tools)
Python-Machine-Learning-Algorithm-master
- 机器学习所有算法大全,python学习基础到高级,入门学习大全(Machine learning all algorithms daqo, python learning basics to advanced, introductory learning daqo)
Python机器视觉编程
- 《Python计算机视觉编程》是计算机视觉编程的实践指南,依赖Python语言讲解了基础理论与算法,并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。另外,书中附带的练习还能让读者巩固并学会应用编程知识。("Python Computer Vision Programming" is a practical guide to computer vision pro
Python机器学习基础教程(完整电子版)
- 本书是机器学习入门书,以Python语言介绍。主要内容包括:机器学习的基本概念及其应用;实践中最常用的机器学习算法以及这些算法的优缺点;在机器学习中待处理数据的呈现方式的重要性,以及应重点关注数据的哪些方面;模型评估和调参的高级方法,重点讲解交叉验证和网格搜索;管道的概念;如何将前面各章的方法应用到文本数据上,还介绍了一些文本特有的处理方法。(This book is an introduction to machine learning, introduced in Python langua
