Introdução a regressão e modelos lineares
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Updated
Mar 8, 2023 - TeX
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
Introdução a regressão e modelos lineares
Using Structural Causal Modeling to identify causative pathways for CVD risk prediction in the UK Biobank study. Inclusive of pre-processing, imputation, and analysis workflows.
Course offered by Johns Hopkins University through Coursera
Repositorio de la asignatura Gestión de Información en la Web del Máster de Ingeniería Informática de la UGR
Simulaciones de convergencia de distribuciones haciendo uso de distintos tipos de variables aleatorias
DataCamp course on statistical and machine learning techniques with Python programming to analyze and interpret complex data
Master Thesis in MPPHS regarding graph convolutional neural networks as applied to neuroscientific data. This project is a collaboration between Chalmers/GU, Syntronic AB and Karolinska Institutet.
Material del curso dictado por la FCEN, UBA, el 1er cuatrimestre del 2020.
Repositorio de la asignatura Cloud Computing: Servicios y Aplicaciones del Máster de Ingeniería Informática de la UGR
Search engine for movie cast generation.
A repository for the Data Management and Data Visualization course project.
Algunos materiales de apoyo que he ido realizando en el tiempo
Kelechi Ikegwu's 2021 Dissertation
Cisco Zabala (@datasith)'s GitHub profile and resume
Bitcoin Blockchain Clustering Analysis for Ransomware Detection
Slides for my talk at the Data Science Festival 2018
Binary Neutron Star Remnants: the most extreme matter in the Universe. This is the repo for my PhD thesis which has been examined and passed.