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Name	Name	Last commit message	Last commit date
Latest commit History 4 Commits
Machine Learning - Home _ Coursera ex4_files	Machine Learning - Home _ Coursera ex4_files
machine-learning-ex1	machine-learning-ex1
machine-learning-ex2	machine-learning-ex2
machine-learning-ex3	machine-learning-ex3
machine-learning-ex4	machine-learning-ex4
machine-learning-ex5	machine-learning-ex5
machine-learning-ex6	machine-learning-ex6
machine-learning-ex7	machine-learning-ex7
machine-learning-ex8/machine-learning-ex8	machine-learning-ex8/machine-learning-ex8
spam	spam
Backpropagation Algorithm _ Coursera.pdf	Backpropagation Algorithm _ Coursera.pdf
Lecture10 bias and Variance.pdf	Lecture10 bias and Variance.pdf
Lecture11.pdf	Lecture11.pdf
Lecture12 SVM.pdf	Lecture12 SVM.pdf
Lecture13 K cluster.pdf	Lecture13 K cluster.pdf
Lecture14_PCA.pdf	Lecture14_PCA.pdf
Lecture15 anamoly detetion.pdf	Lecture15 anamoly detetion.pdf
Lecture16 collaborative filtering.pdf	Lecture16 collaborative filtering.pdf
Lecture17_schocastic map reduce, data parralelism.pdf	Lecture17_schocastic map reduce, data parralelism.pdf
Lecture18 OCR.pdf	Lecture18 OCR.pdf
Lecture4.pdf	Lecture4.pdf
Lecture5.pdf	Lecture5.pdf
Lecture6 Logistic regression optimisation.pdf	Lecture6 Logistic regression optimisation.pdf
Lecture7 Regularization the problem of over shifting.pdf	Lecture7 Regularization the problem of over shifting.pdf
Lecture9 Backpropogation.pdf	Lecture9 Backpropogation.pdf
LogisRegression.ipynb	LogisRegression.ipynb
Machine Learning - Home _ Coursera ex4.html	Machine Learning - Home _ Coursera ex4.html
Microsoft PowerPoint - Lecture8.pptx.pdf	Microsoft PowerPoint - Lecture8.pptx.pdf
SVM_implementation.ipynb	SVM_implementation.ipynb