用FCM对数据集进行分类

说明：  通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)

说明：  一个简单的python网站开发 实现nl2sql(A simple Python website development)

说明：  简单数据结构python实现，包括线性表、链表、哈希表、二叉树等(Python implementation of simple data structure, including linear list, linked list, hash table, binary tree, etc.)

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)

基于树莓派的网页控制开关门系统源码 开发语言：python 网页框架：web.py 所需硬件：树莓派，继电器，温度传感器DS18B20

Builds game map given an input file with pre-specified format.

说明：  python core test files

说明：  这是书籍《深度学习与图像处理》源代码，有一定参考价值。(This is the source code of the book "Deep Learning and Image Processing", which has certain reference value.)

说明：  了解基本编程知识，熟悉编程算法，求无限循环小数的循环节。(Understand basic programming knowledge, familiar with programming algorithms, find infinite cycle decimal section.)

通过GAN和WGAN在python的tensorflow平台上实现图片生成，与真实图片基本一致。(Through GAN and WGAN, the image generation is realized on the tensorflow platform of python, which is basically the same as the real picture.)