Essays about: "logistisk regressionsmodell"
Showing result 1 - 5 of 17 essays containing the words logistisk regressionsmodell.
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1. Clustering and classification of prepaid mortgages
University essay from KTH/Matematik (Avd.)Abstract : This thesis aims to cluster and classify mortgages issued by a financial institution. The aim is to apply machine learning techniques on historical data in order to discover a possible structure and predictability in prepaid mortgages. READ MORE
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2. Evaluation of the decision-making process for credit decisions at Preem AB
University essay from KTH/Matematisk statistikAbstract : The purpose of the following bachelor thesis report within mathematical statistics was to evaluate the decision making process at the credit department at Preem AB. The study used a logistic regression model to find a relationship between the probability of an application for credit being accepted and some quantitative and categorical factors about the applicant. READ MORE
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3. Customer acquisition and onboarding at an online grocery company
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The master thesis is carried out in a collaboration with a Swedish online grocery company. The goal of the thesis is to investigate if it is possible to explain the underlying factors that affect new customers to be retained. READ MORE
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4. A survival analysis on endurance tests of chainsaws and power cutter components at Husqvarna Group AB
University essay from Lunds universitet/Matematisk statistikAbstract : Due to the steadily growing world chainsaw market and the market’s relative competitiveness, high performing chainsaws are important for Husqvarna Group AB to remain competitive. In the development phase a large number of endurance tests are run to evaluate the product’s performance. READ MORE
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5. Sequential Deep Learning Models for Neonatal Sepsis Detection : A suitability assessment of deep learning models for event detection in physiological data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sepsis is a life-threatening condition that neonatal patients are especially susceptible to. Fortunately, improved bedside monitoring has enabled the collection and use of continuous vital signs data for the purpose of detecting conditions such as sepsis. READ MORE