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MAchine Learning Algorithms from Professor Andrew Ng (Coursera, machine Learning online class) implemented in Python with numpy for vectorization

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pyML

created by Umanga Bista, Kathmandu, Nepal Institute of Engineering, Dept. of Electronics and Computer Engineering currently BE Computer Engineering, final semester [email protected]

MAchine Learning Algorithms implemented in Python with numpy for vectorization

Supervised learning Algorithms :

  1. Linear Regression
  2. Logistic Regression
  3. Back propagation

All algorithms currently use Gradient Descent as optimization routine. All algorithms are regularized to avoid overfitting.

Unsupervised learning: 4. Dynamic Time Warping 5. KMeans Clustering 6. Gaussian Mixture Model with Expectation Maximization algorithm

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MAchine Learning Algorithms from Professor Andrew Ng (Coursera, machine Learning online class) implemented in Python with numpy for vectorization

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