文件名称：matlabfilter代码-Machine-Learning-Andrew-Ng:coursera上吴恩达老师的机器学习课程记录
文件大小：29.57MB
文件格式：ZIP
更新时间：2024-06-12 20:50:46
系统开源
matlab filter 代码 Machine-Learning-Andrew-Ng coursera上吴恩达老师的机器学习课程记录。 课程里的内容是有matlab和octave实现，这里采用python，基础的库：numpy，matplotlib以及pandas，部分代码参考: 还有几个问题有待解决： 第二章logistic regression 第四章back propogation 第九章anomaly detection/colaborative filtering
【文件预览】：
Machine-Learning-Andrew-Ng-master
----chapter2()
--------LogisticRegression.ipynb(94KB)
--------ex2.pdf(228KB)
--------ex2data1.txt(4KB)
--------ex2data2.txt(2KB)
----chapter8()
--------ex8_movies.mat(218KB)
--------ex8data2.mat(91KB)
--------ex8_movieParams.mat(196KB)
--------ex8.pdf(242KB)
--------movie_ids.txt(47KB)
--------Anomaly Detection and Recommender Systems.ipynb(108KB)
--------ex8data1.mat(9KB)
----chapter6()
--------ex6.pdf(328KB)
--------ex6data2.mat(7KB)
--------spamTrain.mat(419KB)
--------spamTest.mat(110KB)
--------Support Vector Machine.ipynb(264KB)
--------ex6data3.mat(6KB)
--------ex6data1.mat(981B)
----chapter3()
--------ex3data1.mat(7.16MB)
--------ex3.pdf(287KB)
--------ex3weights.mat(78KB)
--------Multi-class Classification and Neural Networks.ipynb(91KB)
----chapter5()
--------ex5.pdf(183KB)
--------Regularized Linear Regression and Bias v.s. Variance.ipynb(196KB)
--------ex5data1.mat(1KB)
----chapter7()
--------bird_small.png(32KB)
--------K-means and PCA.ipynb(630KB)
--------ex7.pdf(701KB)
--------ex7faces.mat(10.52MB)
--------ex7data1.mat(995B)
--------ex7data2.mat(5KB)
----LICENSE(1KB)
----README.md(2KB)
----chapter1()
--------ex1data2.txt(657B)
--------LinearRegression.ipynb(87KB)
--------ex1data1.txt(1KB)
--------ex1.pdf(482KB)
----chapter4()
--------ex4.pdf(348KB)
--------Neural Networks Learning.ipynb(95KB)
--------ex4data1.mat(7.16MB)
--------ex4weights.mat(78KB)
----.gitignore(1KB)