Essays about: "XGBoost"

Showing result 1 - 5 of 92 essays containing the word XGBoost.

  1. 1. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing

    University essay from Uppsala universitet/Luft-, vatten- och landskapslära

    Author : August Thomasson; [2023]
    Keywords : visibility forecast; fog; machine learning; numerical weather predicition; XGBoost; Random Forest; siktprognos; dimma; maskininlärning; numerisk vädermodell; XGBoost; Random Forest;

    Abstract : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. READ MORE

  3. 2. Smart water monitoring for better water quality - An affordable and sustainable way to predict unexpected environmental changes of water bodies

    University essay from Lunds universitet/LUCSUS

    Author : Chia-Wen Yang; [2023]
    Keywords : Machine learning; technology diffusion; Water quality management; Sustainability Science; Affordable solutions; Social Sciences;

    Abstract : This article discusses the challenges associated with maintaining water quality, particularly the issue of eutrophication, and the importance of technology advancements for monitoring and managing water quality. The potential of machine learning is highlighted, along with the importance of affordable and effective water quality monitoring techniques. READ MORE

  4. 3. Predicting hotel cancellations using machine learning

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Enok Gartvall; Oscar Skånhagen; [2022-02-18]
    Keywords : ;

    Abstract : Room cancellations is a big challenge for the hotel industry since the number of guest affects the whole operational setup. The purpose of the thesis is to predict hotel cancella-tions using machine learning and analyse which factors have the most influence. READ MORE

  5. 4. Credit Scoring Based on Behavioural Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Bouvin; Erik Hamberg; [2022]
    Keywords : Banking; Behavior; Behaviour; Credit Modelling; Klarna; Logistic Regression; Machine Learning; Neural Networks; Random Forests; XGBoost;

    Abstract : Credit modelling has traditionally been done by credit institutes based on financial data about the individuals requesting the credit. While this has been sufficient in lowering risk in developed economies with plenty of financial data it is inefficient in developing economies and fails to reach the unbanked population. READ MORE

  6. 5. Spent Nuclear Fuel under Repository Conditions : Update and Expansion of Database and Development of Machine Learning Models

    University essay from KTH/Kemi

    Author : Maria Abada; [2022]
    Keywords : Spent nuclear fuel; spent nuclear fuel dissolution; spent nuclear fuel corrosion; machine learning model; dissolution predictions; Utbränt kärnbränsle; upplösning av utbränt kärnbränsle; korrosion av utbränt kärnbränsle; maskininlärningsmodeller; prediktioner av upplösning;

    Abstract : Förbrukat kärnbränsle är mycket radioaktivt och behöver därför lagras i djupa geologiska förvar i tusentals år innan det säkert kan återföras till naturen. På grund av de långa lagringsperioderna görs säkerhetsanalyser av de djupa geologiska förvaren. READ MORE