Alex Carrillo Alza's Projects
Notebooks y entregables de proyecto de las tareas de laboratorio realizadas en la asignatura Mรฉtodos Estadรญsticos para Finanzas y Seguros del Grado en Ciencia e Ingenierรญa de Datos. ๐
Solving a cars assembly line NP problem by implementing three algorithmic approaches: an exhaustive search, a greedy algorithm and a metaheuristic. ๐
Enfocament basat en Machine Learning per predir l'รจxit (o fracร s) de venta de dipรฒsits bancaris a travรฉs de trucades de telemร rqueting. ๐ฆ
Front-End of a more in-depth project on CRM matching and customer segmentation, made with the Shiny package from R. ๐
Study on the application of the LSTM state-of-art language modeling deep learning architecture to the analysis of Bitcoin financial time series. ๐ฐ
Experiment on the theoretical aspects of color image detection and classification algorithms, and implementation of it for skin segmentation and finger counting. โ๐ผ
Predictive analysis using big data technologies such as PySpark: if an unscheduled maintenance flight event is to happen sometime in the next 7 days. โ๏ธ
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. ๐
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. ๐งช
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. ๐
Master Computer Vision UAB. Lectures and Contents.
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).
Project for M3 module: Machine Learning for Computer Vision
El projecte ยตoogle es basa en un sistema per analitzar pร gines web i respondre consultes dels usuaris, informant de quines pร gines contenen totes les paraules de la cerca. ๐ท
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. ๐ต
Notebook on data exploration with Python using pandas and matplotlib. Analyzing temporal data about customer purchases and analytics. ๐
First approach of a pattern recognition task (recognising 0-to-9 digits images) with a Single Layer Neural Network (SLNN). ๐ง
La classe Polinomis emmagatzema un polinomi de grau nโ amb coeficients reals i proporciona algunes operacions รบtils sobre ell. โ
Study of the Spatial Pyramid kernel function for Support Vector Machines (SVMs) and implementation of its statistical learning paradigm for image recognition. ๐งฑ
Notebooks and project deliverables of the laboratory tasks carried out in the Reinforcement Learning subject of the Bachelor Degree in Data Science and Engineering. ๐ค
Implementation and solving in Python of the constrained ridge or Tikhonov-regularized regression model, which solves a constrained optimization problem. ๐
Inspired by the NYT spelling bee game
Data processing, Model creation and App deployment of Vesper Commit Severity Predictor. Trained with data from the Technical Debt Dataset.