python 爬取环境大数据源代码

频繁项集挖掘算法FPGrowth用Python实现(Python implementation of frequent itemsets mining algorithm)

说明：  zhouzhihua machine learning book

ptt_beauty_infinite_scroll-masterptt表特版自動爬蟲(ptt_beauty_infinite_scroll-master)

说明：  python编写，使用sklearn机器学习库里的svm分类器，以MNIST为数据集，手动输入数字分类，MNIST.py为训练代码，训练10000次准确率为93.93%，手动3.py为手动输入并分类的代码。(Written in Python, using the svm classifier in the sklearn machine learning library, using MNIST as the data set, manually input the numeric classification, MNIST.py is the training code, the accuracy of training 10000 times is 93.93%, manual 3.py is manually entered and classified Code.)

kaggle上对旧金山城市的犯罪案件进行分类，属于多分类问题，提供的数据特征包含时间、地点、描述等。本实例包含数据集和代码，机器学习方法是朴素贝叶斯和逻辑回归

classification and regression tree算法的python实现以及相关实验数据(machine learning classification and regression tree)

说明：  Pytorch-Deep-Neural-Networks-master

Python OpenCV canny边缘检测-实例源码.zip

说明：  百度人脸识别，能识别出两张图片中的人脸的相似度，辨别出是不是同个人。(Baidu face recognition, can recognize the similarity of faces in two pictures, to distinguish whether it is the same person.)

说明：  DenseNet201卷积神经网络训练模型，python语言编程，粗略训练，入门难度。(DenseNet201 convolutional neural network training model, python programming, rough training, entry difficulty.)