Sökning: "Bayesian logistic regression"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Bayesian logistic regression.

  1. 1. A Predictive Analysis of Customer Churn

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Olivia Eskils; Anna Backman; [2023]
    Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER

  3. 2. Spatial modeling with INLA for analysis of unequal care in Skåne

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Julia Wierzchoslawska; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The objective of this thesis is to extend on a previous analysis of health care accessibility for patients diagnosed with a chronic disease in Region Skåne. The previous analysis resulted in a logistic mixed effects model having municipality as a random effect and age as a first-degree spline-function. LÄS MER

  4. 3. Flight Sorting Algorithm Based on Users’ Behaviour

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

    Författare :Qingyan Ben; [2021]
    Nyckelord :Ranking systems; recommendation systems; machine learning; deep learning; data balance; Rankningssystem; rekommendationssystem; maskininlärning; djupinlärning; databalans;

    Sammanfattning : The model predicts the best flight order and recommend best flight to users. The thesis could be divided into the following three parts: Feature choosing, data-preprocessing, and various algorithms experiment. LÄS MER

  5. 4. Genre-based Video Clustering using Deep Learning : By Extraction feature using Object Detection and Action Recognition

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Abhinay Vellala; [2021]
    Nyckelord :Bag-of-features; Object detection; Action recognition; Multinomial mixture model;

    Sammanfattning : Social media has become an integral part of the Internet. There have been users across the world sharing content like images, texts, videos, and so on. There is a huge amount of data being generated and it has become a challenge to the social media platforms to group the content for further usage like recommending a video. LÄS MER

  7. 5. Omnichannel path to purchase : Viability of Bayesian Network as Market Attribution Models

    Master-uppsats, Linköpings universitet/Filosofiska fakulteten; Linköpings universitet/Institutionen för datavetenskap

    Författare :Anubhav Dikshit; [2020]
    Nyckelord :Market Attribution Model; Bayesian Network; Logistic Regression; Data driven marketing;

    Sammanfattning : Market attribution is the problem of interpreting the influence of advertisements onthe user’s decision process. Market attribution is a hard problem, and it happens to be asignificant reason for Google’s revenue. There are broadly two types of attribution models- data-driven and heuristics. LÄS MER