Authors: Bastian Krohg & Nicolas Siard This repo contains 3 submodules with different ML projects from INSA Toulouse
- Develop and train a linear perceptron that can be trained using a dataset from the hydrodynamic performance of sailing yachts
- Gradient descent method to train the model by updating the weights according to losses for each iteration
- Split data sets, train and tune a multi-layer perceptron
- Decision Trees, Evaluation and Confusion Matrix
