This repository contains the code developed to complete homeworks assigned in the course of Machine Learning
You can find a detailed report of the activity here
It is composed by a classification task and a regression task.
Classification:
Given a dataset describing starting, final position, velocity and orientation of five drones decide the number of collisions.
Regression:
With the same dataset find the "Closest point of approach" among the drones.
Use of standard machine learning models such:
- SVM
- Decision tree
And some basics techniques like:
- Grid search
- Data augmentation
- Normalization
You can find a detailed report of the activity here
The assigned task was to choose any images dataset composed by at least 10 classes and perform a classification using Convolutional Neural Networks.
Use neural networks approach for classification Understand the basic techniques:
- Drop out
- Batch normaliation
- Others ...