pyhton人工智能机器学习1资源-CSDN文库

共177个文件

py：139个

txt：31个

doc：4个

人工智能

机器学习

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pyhton 人工智能机器学习1 （177个子文件）

人工智能(机器学习1)_周考_03_技能.doc 122KB

07-1 人工智能学院专业5《机器学习1》7月周考3--技能试题.doc 60KB

06-2-人工智能学院-专业5 《机器学习一》6月周考一—技能试题.doc 29KB

~$-1 人工智能学院专业5《机器学习1》7月周考3--技能试题.doc 162B

1-1-1-2-1-2-逻辑回归-添加正则项-正规版本.py 13KB

1-1-1-2-1-1-逻辑回归-添加正则项.py 13KB

1-1-1-1-1-3-逻辑回归-第二周-5月-直线.py 12KB

1-1-1-1-1-1-周考-第二周-8月-逻辑回归.py 11KB

1-1-1-1-1-1-逻辑回归-鸢尾花-曲线.py 11KB

1-1-1-2-1-2-逻辑回归-乳腺癌-曲线.py 11KB

1-1-1-1-1-1-逻辑回归-第二周-7月-鸢尾花-直线.py 11KB

1-1-1-1-1-2-逻辑回归-鸢尾花-直线.py 11KB

1-1-1-2-1-1-逻辑回归-乳腺癌-直线.py 11KB

1-1-1-3-1-1-逻辑回归-模型评估.py 10KB

1-1-1-1-1-5-逻辑回归-主函数-模型预测值-代码实现.py 9KB

1-1-1-1-1-1-六月-正规方程-多项式&噪声.py 9KB

1-1-1-1-1-2-六月-梯度下降-多项式&噪声.py 9KB

1-1-1-2-1-2-神经网络-底层-双隐藏层-终极版本.py 9KB

1-1-1-2-1-1-线性回归-多项式线性回归-模型评估.py 9KB

1-1-1-1-1-3-线性回归-代价添加正则项-多图显示不同正则项值lamb-正规版本.py 8KB

1-1-1-1-1-1-神经网络-图片识别-核心实现.py 8KB

1-1-1-1-1-2-线性回归-代价添加正则项-多图显示不同正则项值lamb.py 8KB

1-1-1-1-1-1-线性回归-多项式回归.py 8KB

1-1-1-1-1-2-线性回归-多项式回归-优化.py 8KB

1-1-1-2-1-1-神经网络-底层-单隐藏层-终极版本.py 8KB

1-1-1-2-1-1-线性回归-多变量线性回归-代码实现.py 7KB

1-1-1-1-1-4-逻辑回归-主函数-分类边界线（曲线）-代码实现.py 7KB

1-1-1-11-1-1-线性回归-日考-day2.py 7KB

1-1-1-1-1-2-线性回归-多项式线性回归-正规方程-代码实现.py 7KB

1-1-1-1-1-1-线性回归-图形美化.py 7KB

1-1-1-1-1-1-线性回归-代价添加正则项.py 7KB

1-1-1-1-1-2-线性回归-波士顿数据集的使用.py 7KB

1-1-1-1-1-3-逻辑回归-主函数-分类边界线-代码实现.py 7KB

1-1-1-1-1-2-逻辑回归-主函数-代码实现.py 7KB

1-1-1-10-1-1-线性回归-图形美化.py 7KB

1-1-1-9-1-1-线性回归-特征缩放.py 6KB

1-1-1-1-1-1-神经网络-正则化-代码实现.py 6KB

1-1-1-3-1-1-线性回归-调库实现.py 6KB

1-1-2-1-1-1-神经网络-多隐藏层-代码实现.py 6KB

1-1-1-1-1-1-逻辑回归-核心功能函数-代码实现.py 6KB

1-1-1-8-1-1-线性回归-主程序实现-回归直线.py 6KB

1-1-1-2-1-1-线性回归-底层-终极版本.py 6KB

1-1-1-3-2-1-逻辑回归-调库-模型评估.py 6KB

1-1-1-3-1-2-神经网络-主函数-代码实现.py 6KB

1-1-1-6-1-1-线性回归-主程序实现-绘制代价曲线.py 5KB

1-1-1-7-1-1-线性回归-主程序实现-数据切分-代码实现.py 5KB

2-1-1-1-1-svm-7月-svc.py 5KB

2-1-1-1-1-svm-7月-svc-最终版.py 5KB

1-1-1-1-1-3-逻辑回归-底层-鸢尾花-终极版本.py 5KB

1-1-1-1-1-3-逻辑回归-底层-鸢尾花-正经版本.py 5KB

1-1-1-6-1-1-线性回归-主程序实现-绘制代价曲线.py 5KB

2-1-1-1-1-1-神经网络-调库-代码实现.py 5KB

1-1-1-1-1-1-神经网络-调库-终极版本.py 4KB

1-1-1-3-1-1-神经网络-反向传播-代码实现.py 4KB

2-1-1-1-1-nn-7月-img-完整版本.py 4KB

1-1-1-1-3-1-svm-分类-决策边界-核函数.py 4KB

1-1-1-1-2-1-svm-分类-决策便捷.py 4KB

1-1-1-1-2-1-svm-分类-决策边界.py 4KB

1-1-1-1-1-1-逻辑回归-调库-鸢尾花.py 4KB

2-1-1-1-1-nn-7月-img-完整版本.py 4KB

1-1-1-1-1-1-线性回归-调库-终极版本.py 4KB

2-1-1-1-1-nn-7月-img-简单版本.py 4KB

1-1-1-1-1-2-逻辑回归-调库-鸢尾花-正经版本.py 4KB

1-1-1-1-1-2-逻辑回归-调库-鸢尾花-终极版本.py 4KB

1-1-1-1-1-2-决策树-DTC&KMeans-终极版本.py 3KB

1-1-1-1-1-2-决策树-DTC&KMeans.py 3KB

1-1-1-1-1-5-KMeans-基本实现-质心&肘部.py 3KB

1-1-1-2-1-1-线性回归-DTR调库-终极版本.py 3KB

1-1-1-1-1-1-决策树-分类.py 3KB

1-1-1-2-1-2-逻辑回归-调库-分类边界线-代码实现（曲线）.py 3KB

1-1-1-1-1-1-线性回归-SVR调库-终极版本.py 3KB

1-1-1-1-1-3-PCA-基本实现-鸢尾花-可视化结合svm.py 3KB

1-1-1-1-1-1-决策树-DTC.py 3KB

1-1-1-2-1-1-逻辑回归-调库-分类边界线-代码实现.py 3KB

3-1-1-1-1-1-KMeans-最终版.py 3KB

1-1-1-1-1-3-KMeans-基本实现-所有样本点到质心的距离平方和.py 3KB

1-1-1-1-1-1-神经网络-核心函数-代码实现.py 3KB

3-1-1-1-1-1-KMeans.py 3KB

1-1-1-2-1-1-神经网络-调库-代码实现.py 3KB

1-1-1-1-1-2-KMeans-基本实现-质心.py 3KB

1-1-1-1-1-4-KMeans-基本实现-每一种聚类对应的所有样本点到质心的距离平方和.py 3KB

1-1-1-5-1-1-线性回归-梯度下降-代码实现.py 2KB

1-1-1-1-2-1-决策树-回归.py 2KB

1-1-1-1-1-1-svm-分类.py 2KB

1-1-1-2-1-2-svm-回归-曲线.py 2KB

0-1-1-1-1-1-神经网络-图片识别-图片读取.py 2KB

1-1-1-2-1-1-svm-回归.py 2KB

1-1-1-1-1-1-KMeans-基本实现.py 2KB

1-1-1-4-1-1-线性回归-数据集-散点图.py 2KB

共 177 条

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