Gabriela's repositories
BindingAffinity-Prediction
Prediction of the Protein-Ligand Binding Affinity using various Machine Learning & Statistics Techniques. The implemented models are based on parametric and nonparametric intelligible approaches and stacking procedures. Fully developed in R.
News-Network-Analysis
Network Analysis of news and articles mainstreamed from principal journals. Developed in Python.
SoftwarePackageOntology
Script to create an ontology describing the main properties of the software packages, in order to allow their properly classification based on their features. In such a way, that instances or individuals can be added and classified automatically to permit the user to retrieve important information for maintenance tasks.
syntactic_parser
Syntactic parser for reading a literary text in natural language. After reading a text, it returns a list with the sentences it contains. The difficulty comes from the segmentation of the text because not all dots always end a sentence, they can also be used in titles (like Dr.) or acronyms. This Parser is programmed in Prolog.
cluster_median
Cluster Median Classification problem - implemented using both integer programming (in AMPL) and an heuristic solution using Spanning Trees in Python.
DBNormalizer
Design Support Desktop Tool to enhance a Relational Database according to the normalization theory. The present Database Normalizer tool provides guidelines to reach the three normal forms and if possible the Boyce-Code normal form in a database, always ensuring lossless-join decomposition. This tool also provides candidate keys, attribute closure, and DDL statements to create the new relations in Postgresql 9.3.
generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
langchain
⚡ Building applications with LLMs through composability ⚡
Microcontroller-MSP430
This folder contain 10 lab works code in both Assembly and C, for the MSP430 microcontroller.
mod5-solution
Assignment Solution for the Module 4 - HTML, CSS & JS course
module3-solution
Assignment Solution for the Module 3 - HTML, CSS & JS course
module4-solution
Assignment Solution for the Module 4 - HTML, CSS & JS course
personal-website
My personal website
vertex-pipelines-workshop
Workshop using Vertex Pipelines
VisaPremier-Classification
From a dataset with the customer's behavior of a bank, four different Classification Models are implemented, to predict the probability for a new customer to buy a Visa Premier Card. Three of models use only continuous variables and one uses heterogenous data (Continuous and Categorial variables). Implemented in R.
Web-dev-Coursera
Assignment Solutions for the Coursera course: HTML, CSS, and JavaScript for web-developers.