Projects

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Implementation of a Neural Network from scratch in Python for the Machine Learning course.

Software development in team for MSc course of Smart Applications.

Data Mining analysis on customers' shopping behavior

Computing the 2-norm for a rectangular matrix (unconstrained approach) using two optimization algorithms, the Standard gradient descent (steepest descent) method, and the Quasi-Newton method. Project for the Master Course of *Computational Mathematics for Learning and Data Analysis*.

Long-Short Term Memory (LSTM) to predict energy consumption from multivariate timeseries.

A presentation about the question of embodiment in behaviour-based robots (MSc course of Robotics)

Python analysis of timeseries to cluster ranges of consumption, using Hidden Markov Models with Gaussian emissions.

SmartBin, a smart solution for improvements on garbage management system. An intelligent bin that monitors itself.

A report on Algorithmic Bias, why it is ethically problematic and how to handle it.