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Python-machine-learning
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.ipynb_checkpoints
.ipynb_checkpoints
data
data
MLP回归分析.ipynb
MLP回归分析.ipynb
mmod_human_face_detector.dat
mmod_human_face_detector.dat
shape_predictor_68_face_landmarks.dat
shape_predictor_68_face_landmarks.dat
多元时间序列分析.ipynb
多元时间序列分析.ipynb
深度文本分类.ipynb
深度文本分类.ipynb
第10章 异常值检测.ipynb
第10章 异常值检测.ipynb
第10章 贝叶斯方法和K近邻分类.ipynb
第10章 贝叶斯方法和K近邻分类.ipynb
第11章 支持向量机和神经网络.ipynb
第11章 支持向量机和神经网络.ipynb
第12章 人脸检测.ipynb
第12章 人脸检测.ipynb
第12章 深度学习入门.ipynb
第12章 深度学习入门.ipynb
第12章 深度学习图像去噪空洞卷积.ipynb
第12章 深度学习图像去噪空洞卷积.ipynb
第1章:4机器学习实例.ipynb
第1章:4机器学习实例.ipynb
第1章:部分示例图.ipynb
第1章:部分示例图.ipynb
第2章 Python常用库介绍.ipynb
第2章 Python常用库介绍.ipynb
第3章 数据可视化和降维.ipynb
第3章 数据可视化和降维.ipynb
第3章 数据的准备和探索.ipynb
第3章 数据的准备和探索.ipynb
第4章 模型的评估.ipynb
第4章 模型的评估.ipynb
第5章 回归分析.ipynb
第5章 回归分析.ipynb
第6章 关联分析.ipynb
第6章 关联分析.ipynb
第7章 无监督学习.ipynb
第7章 无监督学习.ipynb
第8章 文本LDA模型.ipynb
第8章 文本LDA模型.ipynb
第9章 决策树和集成学习.ipynb
第9章 决策树和集成学习.ipynb
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