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Coursera Machine Learning



Here are implemmented excercises with Octave and python while I'm taking course of Machine Learning by Andrew Ng on Coursera

Exercises List:

  • Exercise 1 - Linear Regression
  • Exercise 2 - Logistic Regression
  • Exercise 3 - Multi-class Classification and Neural Networks
  • Exercise 4 - Neural Networks Learning
  • Exercise 5 - Regularized Linear Regression and Bias v.s. Variance
  • Exercise 6 - Support Vector Machines
  • Exercise 7 - K-means Clustering and Principal Component Analysis
  • Exercise 8 - Anomaly Detection and Recommender Systems

References:

https://www.coursera.org/learn/machine-learning/home/welcome

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