• At-Risk students prediction using machine learning 

      Ledain Gentillon, Reginald (Polytechnic University of Puerto Rico, 2019)
      This article intends to discover how machine learning can be used to predict at-risk students during the school year. Different algorithms were tested within a common framework to compare their accuracy and their ...
    • At-Risk Students Prediction Using Machine Learning 

      Ledain Gentillon, Reginald (Polytechnic University of Puerto Rico, 2022)
      This article intends to discover how machine learning can be used to predict at-risk students during the school year. Different algorithms were tested within a common framework to compare their accuracy and their ...
    • Data mining techniques and machine learning model for Walmart weekly sales forecast 

      Santaella Colón, José Gil (Polytechnic University of Puerto Rico, 2019)
      The ability to forecast data accurately is extremely valuable in a vast array of domains such as health, sales, finance, weather or sports. Presented here is the study and implementation of data mining techniques and ...
    • Developing Interactive Learning Resources for Python and Machine Learning 

      Vélez Candelaria, Amaris (Polytechnic University of Puerto Rico, 2020)
      This paper describes the process of developing learning resources for students in computing and offers various examples of the learning resources that were successfully developed as a result. Two main learning resources ...
    • Heart Disease Detection Using Machine Learning Models 

      González Cartagena, Rafael; Ocasio Adorno, Yadriel A. (Polytechnic University of Puerto Rico, 2023-08-31)
      Heart disease, that is, the set of various health complications that negatively affect the heart, is currently one of the main causes of worldwide deaths in human beings. For instance, in the United States (US), it has the ...
    • Implementation of Data Mining Techniques and Machine Learning Model in Manufacturing Process 

      Vélez Báez, Héctor (Polytechnic University of Puerto Rico, 2021)
      Time in manufacturing process is critical. A lot of manufacturing companies rely on their operator’s knowledge, experience, or random methods to adjust CNC machines. Sometimes these judgements are ineffective and limited ...
    • Medical image-based diagnostics for cardiovascular diseases using machine learning 

      Martínez López, Alexander M.; González Rivera, Carlos (Polytechnic University of Puerto Rico, 2021-09-17)
      With cardiac imaging’s important role in the diagnosis of cardiovascular diseases, along with the dawn of big data and machine learning (ML), there are emergent opportunities to build artificial intelligence (AI) tools ...
    • Predicting the downfall of non-profit organizations using machine learning 

      Vázquez Rodríguez, Rubén A. (Polytechnic University of Puerto Rico, 2019)
      Machine learning can be applied to finances of non-profit organizations taken from IRS Tax Forms 990ez to determine if an organization will be dissolved. This is useful to determine if a cause is viable. Data stored ...
    • Prescription Timeliness Prediction Using Machine Learning 

      De La Cruz Marrero, Ian (Polytechnic University of Puerto Rico, 2018)
      Adherence is a very important aspect for each patient enrolled in a Prescription Drug Plan, a large gap between claim fills is an indicator that they might be disrupting their therapy. This could be due to unavailability, ...
    • Resuminer – A Résumé Recommender System for Job Seekers using Cluster Analysis 

      Ferrer Hernández, Orlando (Polytechnic University of Puerto Rico, 2016)
      Resumes or curriculum vitae are an essential requirement for job seekers in any industry and are usually the first interactions with third parties that are actively hiring. For a single person, there is an infinite ...
    • Trigger Files Text Analysis and Processing Time Anomaly Detection 

      Irizarry Rodríguez, Josué (Polytechnic University of Puerto Rico, 2014)
      Today the data processing is a vital part of the system supporting organization processes and transactions. A lot of data is managed, transmitted and stored daily. The format of the data is structured, unstructured or ...
    • Using a Supervised Learning Model: Two-Class Boosted Decision Tree Algorithm for Income Prediction 

      Ríos Canales, Victor (Polytechnic University of Puerto Rico, 2016)
      People always try to think or ponder about things in advance regarding the decisions they make, whether if it is a good idea or even if it is not a good idea. If the person has all the correct and necessary information, ...