Alice Villar's Projects
A Collection of application ideas which can be used to improve your coding skills.
Automating form filling process using Automation Practice Website.
This is a personal project containing four versions of a basic calculator. In the fourth version, I used Tkinter to build a GUI.
Binary Tree in Python
In this exercise, I design a database to satisfy the third normal form (3NF) using SQL Workbench.
This ePortfolio was carefully designed to exhibit the result of my MSc studies in Computer Science at the University of Essex, UK.
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.
Loan eligibility prediction using Decision Tree, SVM and Logistic Regression
This software system project contains the architecture (class diagram & activity diagram) and implementation in Python.
Python Challenges with Solutions
Regex challenge - UK postcode
This is an exercise to create a RESTful API to create and delete user records.
This Simple Linear Regression is a fictional case study based on a Kaggle dataset
Linear Search and Binary Search explained
Codio Pylint exercises
Pytest codio exercise
SFA-API is the prototype of an API with two different architectures (monolothic architecture and a microservice architecture).
Official repository for the paper: "Periodontal Disease and Alzheimer's: Insights from a Systematic Literature Network Analysis"
Official repository for the paper: "The relationship between periodontal disease and cancer: Insights from a Systematic Literature Network Analysis"
Space Adventure is a game based on space invaders and created with Pygame.
Deep Learning model with LSTM to predict the future behavior of Petrobras stock prices
Predicting students admission with Logistic Regression, Decision Tree, SVM (SVC) and Random Forest
Personal project with a small structure to study OOP in Python and SQL.
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.
TicTacToe game implementation in Python
Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%