支持向量机的代码

Just a matplotlib application example

说明：  深度增强学习优化无人机航迹, 让无人机实现通信和计算任务(UAV trajectory optimization using deep reinforcement learning)

深度学习领域文献，简称花书，对初学者有很大的参考价值。(Documents in the field of in-depth learning, referred to as flower books, have great reference value for beginners.)

Python学习电子书经典之作，课余学习之用(Python Learning the classic books of e-books and the use of after-school learning)

使用python实现的运行推荐算法的脚本文件(A test demo to run recomandation system)

说明：  1,載入iris 數劇集並設置提取60%的數據做為訓練集，40%數據做為測試集執行KNN 分類算法，並執行五次的交叉驗證（CV）和顯示準確率和混淆矩陣，並找出最佳K值。 2,載入iris 數劇集並設置提取60%的數據做為訓練集，40%數據做為測試集,執行支持向量機（SVM） 算法，並執行五次的交叉驗證（CV）和顯示準確率和混淆矩陣。 3,載入iris 數據集並執行KMEANS 聚類算法家數具分成五個群體，顯示準確率 4,載入iris 數據集執行線性迴歸算法，並利用特徵萃取（Feature Extraction）中的Recursive feature elimination (RFE)對iris 數據集中的特徵欄位進行重要性排序(1. Load iris series and set 60% data as training set and 40% data as test set to implement KNN classification algorithm, and perform five times of cross validation (CV) and display accuracy and confusion matrix, and find out the best K value. 2. Load iris series and set 60% data as training set and 40% data as test set, execute support vector machine (SVM) algorithm, and perform five times of cross validation (CV) and display accuracy and confusion matrix. 3. Loading iris data set and executing kmeans clustering algorithm, the number of users is divided into five groups, showing the accuracy rate 4. Load iris data set, execute linear regression algorithm, and use recursive feature elimination (RFE) in feature extraction to sort the importance of feature fields in iris dataset)

基于python语言编写的新浪微博爬虫，一天可以抓取1300万条数据。

说明：  运用python进行模糊聚类分析步骤如下：建立数据矩阵；数据标准化；建立模糊相似矩阵；改造相似关系为等价关系；确定分类数(The steps of Python fuzzy clustering analysis are as follows: establishing data matrix; standardizing data; establishing fuzzy similarity matrix; transforming similarity relation into equivalence relation; determining classification number.)

神经网络与深度学习课后习题代码，编程案列(Neural Network and Deep Learning Exercise Code, Programming List)

python读取excel文件，并对其中的时间进行处理，输出到txt文件中(python read excel file, and one of time to process and output to txt file)