Machine Learning Algorithm Implementation
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k_means Added k-means algorithm Mar 29, 2016
linear_regression Cleaned up code Mar 11, 2016
logistic_regression Fixed errors and grammar Mar 26, 2016
neural_network Fixed grammar Mar 21, 2016
svm Fixed errors and grammar Mar 26, 2016
LICENSE Initial commit Mar 10, 2016
README.md Added k-means algorithm Mar 29, 2016

README.md

Machine Learning Algorithm Implementation

Implementation of some basic algorithms in machine learning.

I'm using the Octave programming language, and Andrew Ng's course as a means to built these algorithms.

Here are the current available algorithms :

  • Linear regression (with multiple variables)
  • Logistic regression (with regularization)
  • Neural network (with forward/backward propagation, and regularization)
  • Support vector machines (with gaussian kernel)
  • K-means

License

All the source code is under the MIT License.