Essays about: "logistisk regressionsmodell"

Showing result 6 - 10 of 17 essays containing the words logistisk regressionsmodell.

  1. 6. Personalizing the post-purchase experience in online sales using machine learning.

    University essay from KTH/Optimeringslära och systemteori

    Author : Nganga Kamau; Dylan Dehoky; [2021]
    Keywords : Personalization; Upselling; Optimization; Machine learning; Binary classification; Gra-dient boosting; Deep learning; Supervised learning; Imbalanced data; Personifiering; Merf¨ors¨aljning; Optimering; Maskininl¨arning; Bin¨ar klassificering; Gra-dient boosting; Djupinl¨arning; ¨Overvakat l¨arande; Obalanserad data.;

    Abstract : Advances in machine learning, together with an abundance of available data has lead to an explosion in personalized offerings and being able to predict what consumers want, and need without them having to ask for it. During the last decade, it has become a multi billion dollar industry, and a capability upon many of the leading tech companies rely on in their business model. READ MORE

  3. 7. Machine Learning Classification of Response to Internet-based Cognitive-Behavioural Therapy using Genome-Wide Association Study Data

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

    Author : Ren Xin; [2020]
    Keywords : ;

    Abstract : Genome-Wide Association Study (GWAS) data is used to predict clinical outcome of Internet-based Cognitive-Behavioural Therapy for patients suffering from depression. The original data has a very small sample size, but a huge number of features. READ MORE

  4. 8. Predicting employee attrition with machine learning on an individual level, and the effects it could have on an organization

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Fredrik Norrman; [2020]
    Keywords : Employee attrition; Employee turnover; Machine learning; Prediction; Human resource;

    Abstract : This paper is investigating the possibility to predict employee attrition on an individual level with machine learning. The study is divided into two parts, one qualitative part which were conducted by doing interviews with selected roles where the openness to which practitioners are willing to use machine learning models to predict employee attrition, and what effects such a model could have on an organization was investigated. READ MORE

  5. 9. Bankruptcy Distributions and Modelling for Swedish Companies Using Logistic Regression

    University essay from KTH/Matematisk statistik

    Author : Jacob Ewertzh; [2019]
    Keywords : Applied mathematics; Financial mathematics; Statistics; Logistic regression; bankruptcy distribution; bankruptcy models; Forecasting and risk measures; Tillämpad matematik; Finansiell matematik; Statistik; Logistisk regression; konkursfördelning; konkursmodeller; Prognos och riskmått;

    Abstract : This thesis discusses the concept of bankruptcy, or default, for Swedish companies. The actual distribution over time is considered both on aggregate level and within different industries. Several models are constructed to best possible describe the default frequency. READ MORE

  6. 10. Decision Support for SWEA Inspections

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

    Author : Adam Ridemar; [2018]
    Keywords : ;

    Abstract : Nurturing a good working environment is beneficial not only in the short term for keeping employees happy, but especially important for work-life longevity. Poor working conditions can severely lower the retirement age depending on the line of business. READ MORE