Lucía Cordero Sánchez's Projects
COMP472 (Artificial Intelligence) Final Project
Implementations in Python for COMP425: Computer Vision. This repository covers edge and corner detection, image segmentation and clustering, ...
Automated system for detecting the patients that need to get vaccinated, given a database + Unit test frameworks. Coursework for Data Structures and Algorithms course.
Data ingestion and scraping from different sources for topic modelling.
Language: R. Study, Exploratory Data Analytics and Data Visualizations about stationarity in data scientists roles applying the following techniques: PCA, Factor Analysis, Clustering, KMeans and Hierarchical Clustering.
Study about salaries in data scientists roles applying the following techniques: QDA, LDA, Naive-Bayes approach, Random Forests, KNN, SVM, (Logistic, Lasso and Ridge) Regression and Elastic Nets. Also, study of the database considering linear, simple and multivariate models.
Perfomed experiments with word embeddings to solve a synonyms test automatically. Comparison of the performance of pretrained embedding models on multiple data sets.
Explore Formula 1 data with F1 API Analytics. Extract, clean, predict and visualize data. Final dashboards available in the linked PDF.
Development of an action game regarding Game of Thrones in Python
Solution to a linear model about gardening services using 'glpk' solver. General definition of the problem, formulation of variables, objective function and constraints + Insights about the model sensitivity.
Hello World
Solution to the p-Median and Maximal Coverage Location problems by defining the objective function, set, parameters and constraints visually and mathematically. Solvers: gurobipy, pyomo, ipopt.
Automated Pacman Game and insights applying Machine Learning: Reinforcement Learning, Relational Learning, Regression and DTs for classification
Twitter scraping, Preprocessing, Vectorization and WordCloud visualizations, LDA for topic similarity, NLP transformers to detect hate speech, violence and sentiment analysis for Spanish political tweets
PageRank algorithm implementation in Spark for Wikipedia.
Study on survival rates in Titanic using Supervised Learning techniques
Building from zero a zoo website covering HTML, CSS languages and Relational Databases (SQL), Jinja and Flask.