Repository for machine learning problems implemented in python.

Following are the projects present in this repository. Each one uses different dataset. You will find the dataset with ipython notebooks.

• Linear regression
  • Gaussian elimination
  • QR Decomposition
  • Cholesky's decomposition
• Gradient descent
  • Armijo step length Controller
  • Bold driver step length controller
• Logistic regression
  • Stochastic gradient ascent
  • Bold driver step length controller
  • Adaptive gradient step length controller
  • Newton
• Regularization
  • Ridge-Regression
• Grid search with K-fold cross validation
• Kmeans
• Elastic Net
• KNN
  • KNN Classifier
  • KNN Regressor
• Decision Trees
  • Entropy
  • Gini Index
  • Pruning
• Sklearn
  • Linear regression
  • Ridge-Regression
  • Lasso-Regression
  • KNN and partition trees
  • SVM Spam/Ham filter
• LibSVM
  • SVM spam/Ham filter