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Alice Villar

  • 🚀 Interests : Game development | RPA | Machine Learning
  • 📚 MSc : Department of Computer Science, University of Essex (UoEO), UK
  • ✨: ePortfolio : Department of Computer Science, University of Essex (UoEO), UK

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Alice Villar's Projects

app-ideas icon app-ideas

A Collection of application ideas which can be used to improve your coding skills.

basic-calculator icon basic-calculator

This is a personal project containing four versions of a basic calculator. In the fourth version, I used Tkinter to build a GUI.

database-design-3fn icon database-design-3fn

In this exercise, I design a database to satisfy the third normal form (3NF) using SQL Workbench.

eportifolio-msc-essex icon eportifolio-msc-essex

This ePortfolio was carefully designed to exhibit the result of my MSc studies in Computer Science at the University of Essex, UK.

equivalence_testing icon equivalence_testing

This repository contains Pylint exercises from CODIO. It was part of Module 3 (“Secure Software Development”) Unit 5 (Equivalence Testing in Python) of my MSc in Computer Science at the University of Essex, UK.

regex icon regex

Regex challenge - UK postcode

salary_prediction icon salary_prediction

This Simple Linear Regression is a fictional case study based on a Kaggle dataset

sfa_api icon sfa_api

SFA-API is the prototype of an API with two different architectures (monolothic architecture and a microservice architecture).

slna_pd-ad icon slna_pd-ad

Official repository for the paper: "Periodontal Disease and Alzheimer's: Insights from a Systematic Literature Network Analysis"

slna_pd-cancer icon slna_pd-cancer

Official repository for the paper: "The relationship between periodontal disease and cancer: Insights from a Systematic Literature Network Analysis"

space-invaders icon space-invaders

Space Adventure is a game based on space invaders and created with Pygame.

testing_with_python icon testing_with_python

This repository contains testing exercises from CODIO. It was part of Module 3 (“Secure Software Development”) Unit 6 (Using Linters to Support Python Testing) of my MSc in Computer Science at the University of Essex, UK.

titanic-kaggle icon titanic-kaggle

Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%

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