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machine-learning-ex1
machine-learning-ex1
 
 
machine-learning-ex2/machine-learning-ex2
machine-learning-ex2/machine-learning-ex2
 
 
machine-learning-ex3
machine-learning-ex3
 
 
machine-learning-ex4/machine-learning-ex4
machine-learning-ex4/machine-learning-ex4
 
 
machine-learning-ex5/machine-learning-ex5
machine-learning-ex5/machine-learning-ex5
 
 
machine-learning-ex6/machine-learning-ex6
machine-learning-ex6/machine-learning-ex6
 
 
machine-learning-ex7/machine-learning-ex7
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machine-learning-ex8/machine-learning-ex8
machine-learning-ex8/machine-learning-ex8
 
 
Lecture 1 - Introduction.pdf
Lecture 1 - Introduction.pdf
 
 
Lecture 2 - Linear Regression 1 var gradient descent cost function.pdf
Lecture 2 - Linear Regression 1 var gradient descent cost function.pdf
 
 
Lecture 3 - Linear Algebra Review.pdf
Lecture 3 - Linear Algebra Review.pdf
 
 
Lecture 4 - Multivariate Linear Regression.pdf
Lecture 4 - Multivariate Linear Regression.pdf
 
 
Lecture 5 - Octave Intro.pdf
Lecture 5 - Octave Intro.pdf
 
 
Lecture 6 - Logisitic Regression.pdf
Lecture 6 - Logisitic Regression.pdf
 
 
Lecture 7 - Regularization.pdf
Lecture 7 - Regularization.pdf
 
 
README.md
README.md
 
 

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CourseraMachineLearningCourse

Projects from coursera machine learning course. .pdf file in each folder should explain the assingments indepth. Octave was used to code all the assignments.

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