SVR

Python实现Adaboost算法，数据集为horseColic马疝气病数据集，准确率和sklearn库中的adaboost算法一样。(Python implementation adaboost algorithm, the data set is horseColic horse hernia disease data collection, accuracy and sklearn library adaboost the same algorithm.)

用R语言做dcc-garch 模型的全过程代码(Using the R language to do the dcc-garch model)

克里金插值法实现二维和三位等高线的绘制功能,()

poj题目2949平板着色问题,动态规划经典题目()

用Python实现各种图算法,包括深度优先，广度优先，Dijkstral，Prim，WelshPowell_Coloring等算法，

说明：  通过时事数据可视化系统，可以清楚地了解全球疫情分布的状况以及密度，以便做出相应的对策(Through the current affairs data visualization system, it is possible to clearly understand the distribution and density of the global epidemic in order to make corresponding countermeasures)

说明：  本书示例丰富，图文并茂，以简明易懂的方式阐释了算法，旨在帮助程序员在日常项目中更好地利用 算法为软件开发助力。前三章介绍算法基础，包括二分查找、大 O 表示法、两种基本的数据结构以及递归 等。余下的篇幅将主要介绍应用广泛的算法，具体内容包括 :面对具体问题时的解决技巧，比如何时采用 贪婪算法或动态规划 ;散列表的应用 ;图算法 ;K 最近邻算法。 本书适合所有程序员、计算机专业相关师生以及对算法感兴趣的读者。(This book is rich in examples, illustrated and illustrated. It explains the algorithm in a concise and easy to understand way. It aims to help programmers make better use of algorithms to help software development in daily projects. The first three chapters introduce the basic algorithm, including binary search, big O representation, two basic data structures and recursion. The remaining space will mainly introduce the widely used algorithms, including: when facing specific problems, how to use greedy algorithm or dynamic programming; hash table application; graph algorithm; k-nearest neighbor algorithm. This book is suitable for all programmers, computer related teachers and students as well as interested in algorithm readers.)

《从零开始学爬虫》的配套资料（PPT和源码）("Learning Reptiles from Zero" (PPT and Source))

隐马尔科夫实现，包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)

说明：  一些常见算法实现和牛客网以及leetcode刷题(Some Common Algorithms Implementing and Title Brushing)