Sökning: "gradient boost"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden gradient boost.

  1. 1. Machine Learning of Laser Ultrasonic Data to Predict Material Properties

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Filip Tuvenvall; [2023]
    Nyckelord :Machine Learning; Laser Ultrasonics; Material Properties; Steel; Hardness of Steel;

    Sammanfattning : The hardness of steel is an important quality parameter for several industrial applications. Conventional mechanical testing is used in quality testing for material hardness and the method is time-consuming, can cause material mix-ups, and results in material waste. LÄS MER

  3. 2. Predicting periodontitis : An in depth study aiming to make accurate predictions of periodontitis using regularized gradient boost - XGBoost

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Erik Lillrank; Jacob Hoffstedt; [2023]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  4. 3. Predictive Regression Model Evaluation : Evaluating Predictive Machine Learning Models to Reduce Food Waste in the Dairy Industry

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Alexander Carlsson; [2023]
    Nyckelord :Machine learning; Food loss; Food overproduction; Food waste forecast; Food waste prediction; Maskininlärning; Matsvinn; Svinn; Matsvinnsprognos;

    Sammanfattning : Food waste in the food industry is often a result from the complex nature of food production. Uncertainty is always present as yields vary and as there is a chain of consumer demand from stores to producers. Food waste is a waste of both natural and economic resources affecting both the planet and the producer. LÄS MER

  5. 4. Feasibility Study of Implementation of Machine Learning Models on Card Transactions

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Samhar Alzghaier; Mervan Can Kaya; [2022]
    Nyckelord :Processing; Merchant; Acquirer; Customer; Demand Pricing; Dynamic Pricing; Profitability; Machine Learning; Algorithms; Naive-Bayes; AdaBoost; K-Nearest Neighbour; Stochastic Gradient Descent; Decision Trees; Random Forests;

    Sammanfattning : Several studies have been conducted within machine learning, and various variations have been applied to a wide spectrum of other fields. However, a thorough feasibility study within the payment processing industry using machine learning classifier algorithms is yet to be explored. LÄS MER

  7. 5. Employee Churn Prediction in Healthcare Industry using Supervised Machine Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Anna Gentek; [2022]
    Nyckelord :Employee churn; Churn Prediction; Predictive modeling; Machine learning; Deep-Learning; Data mining; Binary Classification; Personalomsättning; Avhoppsanalys; Prediktiv Modellering; Maskininlärning; Datautvinning; Binär Klassificering;

    Sammanfattning : Given that employees are one of the most valuable assets of any organization, losing an employee has a detrimental impact on several aspects of business activities. Loss of competence, deteriorated productivity and increased hiring costs are just a small fraction of the consequences associated with high employee churn. LÄS MER