Project for M3 module: Machine Learning for Computer Vision

Notebooks y entregables de proyecto de las tareas de laboratorio realizadas en la asignatura Métodos Estadísticos para Finanzas y Seguros del Grado en Ciencia e Ingeniería de Datos. 📈

Notebooks and project deliverables of the laboratory tasks carried out in the Reinforcement Learning subject of the Bachelor Degree in Data Science and Engineering. 🤖

Study on the application of the LSTM state-of-art language modeling deep learning architecture to the analysis of Bitcoin financial time series. 💰

Experiment with some approaches of music generation based on deep learning techniques: a LSTM, a Variational Autoencoder, a GAN and a novel architecture called MidiNet. 🎵

Notebooks and project deliverables of the tasks carried out in the Spoken and Written Language Processing subject of the Bachelor Degree in Data Science and Engineering. 👅

Notebook on data exploration with Python using pandas and matplotlib. Analyzing temporal data about customer purchases and analytics. 📊

Front-End of a more in-depth project on CRM matching and customer segmentation, made with the Shiny package from R. 🛍

Experiment on the theoretical aspects of color image detection and classification algorithms, and implementation of it for skin segmentation and finger counting. ✌🏼

Study of the Spatial Pyramid kernel function for Support Vector Machines (SVMs) and implementation of its statistical learning paradigm for image recognition. 🧱

Codes and reports of the laboratory tasks carried out in the Information Retrieval and Analysis subject of the Bachelor Degree in Data Science and Engineering. 🧪

Data visualization to interactive explore whether there is a gender gap in some indicators between different countries, using a declarative Python viz library such as Altair. 🌎

Enfocament basat en Machine Learning per predir l'èxit (o fracàs) de venta de dipòsits bancaris a través de trucades de telemàrqueting. 🏦

Solving a cars assembly line NP problem by implementing three algorithmic approaches: an exhaustive search, a greedy algorithm and a metaheuristic. 🚗

Predictive analysis using big data technologies such as PySpark: if an unscheduled maintenance flight event is to happen sometime in the next 7 days. ✈️

Implementation and solving in Python of the constrained ridge or Tikhonov-regularized regression model, which solves a constrained optimization problem. 📐

First approach of a pattern recognition task (recognising 0-to-9 digits images) with a Single Layer Neural Network (SLNN). 🧠

La classe Polinomis emmagatzema un polinomi de grau n​ amb coeficients reals i proporciona algunes operacions útils sobre ell. ➗

El projecte µoogle es basa en un sistema per analitzar pàgines web i respondre consultes dels usuaris, informant de quines pàgines contenen totes les paraules de la cerca. 🕷