# Naive_Bayes
email邮件数据集
Email_NB.py垃圾邮件过滤实现（Python3实现）
机器学习作业-垃圾邮件过滤实现+源代码+文档说明+数据集
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2023-12-23
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收藏 34.7MB ZIP 举报 
MachineLearning-master.zip （84个子文件） 
MachineLearning-master sentiment_analysis lstm 
utils.py 2KB zh_wiki.py 180KB corpus_model.h5 1.77MB langconv.py 8KB predict.py 3KB label_dict.pk 172B lstm.py 5KB lstm_data_analysis.py 2KB word_dict.pk 79KB __pycache__ langconv.cpython-36.pyc 8KB zh_wiki.cpython-36.pyc 197KB utils.cpython-36.pyc 2KB data 
题目描述.docx 19KB test_labled.csv 1.02MB train.csv 10.38MB test.csv 1.01MB model 
model_100.txt 9.09MB knn MNIST 
t10k-images-idx3-ubyte.gz 1.57MB train-labels-idx1-ubyte.gz 28KB train-images-idx3-ubyte.gz 9.45MB t10k-labels-idx1-ubyte.gz 4KB _knn.py 5KB data mnist test_images 1.57MB train_labels 28KB train_images 9.45MB test_labels 4KB
knn.png 348KB README.md 40B 垃圾邮件 Email_NB.py 7KB email spam 9.txt 161B 13.txt 245B 15.txt 328B 1.txt 235B 14.txt 204B 16.txt 328B 11.txt 402B 5.txt 235B 6.txt 245B 24.txt 328B 25.txt 258B 3.txt 402B 4.txt 226B 19.txt 386B 18.txt 253B 12.txt 182B 20.txt 351B 21.txt 226B 22.txt 351B 7.txt 161B 23.txt 328B 2.txt 291B 8.txt 328B 10.txt 212B 17.txt 241B ham 9.txt 142B 13.txt 164B 15.txt 522B 1.txt 141B 14.txt 162B 16.txt 90B 11.txt 122B 5.txt 113B 6.txt 1KB 24.txt 42B 25.txt 88B 3.txt 364B 4.txt 205B 19.txt 151B 18.txt 168B 12.txt 172B 20.txt 204B 21.txt 229B 22.txt 324B 7.txt 103B 23.txt 600B 2.txt 232B 8.txt 634B 10.txt 82B 17.txt 454B __pycache__ bayes.cpython-36.pyc 3KB Naive_Bays.cpython-36.pyc 3KB bayes.py 6KB README.md 90B README.md 44B资源评论
dthgftyfctyuf2024-04-06资源很受用，资源主总结的很全面，内容与描述一致，解决了我当下的问题。
机器学习的喵2024-04-08感谢下载，不懂的可以私聊
