聚类算法分类图片

说明：  该资源是关于Python软件的安装环境参考教学文档的(The resource is about the installation environment of the Python software refer to the teaching document.)

说明：  用Python完成了github的oauth2功能(The OAuth 2 function of GitHub is completed with Python)

说明：  Speech and Language Processing.pdf

这个储存库是我的作品和与数据科学和机器学习相关的项目的集合。在我的脚本中，我主要使用python及其专用的库：pandas、numpy、scipy、sci kit learn、matplotlib、basemap plotly。我还用了一些d3进行数据可视化。我还尝试从sci kit学习库中定制算法实现(This repository is a collection of my works and projects related to Data Science and Machine Learning. In my scripts I use mainly Python and its dedicated librarys: Pandas, NumPy, SciPy, Sci-Kit Learn, Matplotlib, Basemap Plotly. I had also used some D3 for data visualizations. I also try to make custom implementations of algorithms known from Sci-Kit Learn library.)

基于图像处理、模式识别和k-means聚类，对图像特征进行提取和分类，分别建立了图像定位模型、分类模型和异物检测模型

说明：  视频跟踪是计算机视觉中的一个重要研究方向，有着广泛的应用，如：视频监控，人机交互， 无人驾驶等。过去二三十年视觉目标跟踪技术取得了长足的进步，特别是最近两年利用深度学习的目标跟踪方法取得了令人满意的效果，使目标跟踪技术获得了突破性的进展。本文旨在简要介绍：目标跟踪的基本流程与框架，目标跟踪存在的挑战，目标跟踪相关方法，以及目标跟踪最新的进展等，此次资料能够帮助初学者对于这个领域有一个初步的认识。(Video tracking is an important research direction in computer vision and has a wide range of applications, such as: video surveillance, human-computer interaction, and unmanned driving. The visual target tracking technology has made great progress in the past two or three decades, especially the target tracking method using deep learning in the past two years has achieved satisfactory results, making the target tracking technology a breakthrough. This article aims to briefly introduce: the basic process and framework of target tracking, the challenges of target tracking, related methods of target tracking, and the latest progress of target tracking. This information can help beginners to have a preliminary understanding of this field.)

说明：  前向算法后向算法双向算法方法实现中文匹配(Forward algorithm backward algorithm two way algorithm for Chinese matching)

python实现126邮箱自动登录源码，需要一些类库支持才能运行，请先下载相关类库.(python achieve 126 mailboxes automatically log source, need some support in order to run the library, please download library.)

说明：  可以实现EEMD的分解功能，有效的进行风速预测(It can realize the decomposition function of EEMD and effectively predict the wind speed)