Various ML models implemented in scikit-learn and Tensorflow:
- SGD
- LinearRegressor
- PolynomialRegressor
- SVM
- DecisionTree
- RandomForest
- Ensemble methods
- MLP
- NN
- CNN
Made during ML course on 4th semester of CS and Intelligent Systems undergrad on AGH UST.
- lab1 - Introduction
- lab2 - SGD
- lab3 - Regression
- lab4 - SVM
- lab5 - Decision Tree
- lab6 - Ensemble methods
- lab7 - Clustering
- lab8 - Dimensionality reduction
- lab9 - Perceptron and simple NN
- lab10 - Neural Networks
- lab11 - Hyperparameter tuning
- lab12 - CNN