Alex Carrillo Alza

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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. 📈

Master Computer Vision UAB. Lectures and Contents.

Project for M3 module: Machine Learning for Computer Vision

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

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. 🎵

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

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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. 🌎

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Inspired by the NYT spelling bee game

Image classifier using both classic computer vision techniques (Bag of Visual Words classifier using SVM) and deep learning techniques (MLPs, InceptionV3 and our own CNN, TinyNet).

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

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

Data processing, Model creation and App deployment of Vesper Commit Severity Predictor. Trained with data from the Technical Debt Dataset.

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

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. 👅

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

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. 🧪

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

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). 🧠

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. 🕷

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