Data Analysis

labs for University course

lab1 - Basic ML Algorithms from scratch (python + numpy)

• Linear Regression (1D)
• Logistic Regression (2D)
• CART (2D)

lab2 - Classification using sklearn

• kNN
• SVM
• Ensemble Classifiers - Random Forest, AdaBoost, Gradient Boost

lab3 - Unsupervised Learning

• k-means
• EM algorithm (for GMM model)

lab4 - Intro to ANN (using tensorflow)

• Multilayer Perceptron (MLP)
• Convolutional neural network (CNN)
• Recurrent neural network (RNN)