Essays about: "Credit decision"

Showing result 1 - 5 of 92 essays containing the words Credit decision.

  1. 1. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
    Keywords : Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

    Abstract : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. READ MORE

  3. 2. Methods for local energy and climate planning : A Case stuudy on the Urban Community of Dunkirk

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

    Author : Sacha Thibault; [2023]
    Keywords : Energy transition - Climate and energy policy - Renewable energy - Decision-Support Tools - Local authorities; Energiomställning - Klimat- och energipolitik - Förnybar energi - Verktyg för beslutsstöd - Lokala myndigheter;

    Abstract : Energy management concerns were raised in France after the oil crisis in the 1970s. From then, the local actors developed policies to better control the energy production and consumption on the territories. Climate considerations and the need to limit greenhouse gases (GHG) emissions were then added to these energy issues in the early 2000s. READ MORE

  4. 3. From Data to Decision: : Using Logistic Regression to Determine Creditworthiness

    University essay from KTH/Matematisk statistik

    Author : Joel Norling; Sami Abdu; [2023]
    Keywords : Bachelor Thesis; Scorecard modeling; Mathematical Statistics; Logistic Regression; Consumer Credits; Binning; Kandidatuppsats; Scorecard-modellering; Matematisk statistik; Logistisk regression; Konsumentkrediter; Binning;

    Abstract : The development of scorecards for customer credit rating is a well-established field in the financial sector. The aim of this project, conducted in collaboration with a Swedish credit institute, was to develop a statistical model for predicting customer performance. READ MORE

  5. 4. From Board Games to Unicorns: Gamification and Its Impact on Ideation for Nascent Entrepreneurs

    University essay from Lunds universitet/Företagsekonomiska institutionen

    Author : Måns Heurlin; Jonathan Andersson; Jonathan Rooth; [2023]
    Keywords : Gamification; Ideation; Business and Economics;

    Abstract : Title: From Board Games to Unicorns: Gamification and Its Impact on Ideation for Nascent Entrepreneurs Seminar date: January 11th, 2023 Course: FEKH99, Bachelor Degree Project in Entrepreneurship and Innovation Management, Business administration, Undergraduate level, 15 University Credit Points Authors: Jonathan Andersson, Måns Heurlin, Jonathan Rooth Supervisor: Joakim Winborg Keywords: Gamification; Innovation; Ideation; Entrepreneurship; Nascent entrepreneurs; Idea generation Research question: What are the effects of gamification on ideation for nascent entrepreneurs? Purpose: The purpose of the study is to contribute with increased understanding of how decision- makers in startups argue when choosing location of production. Methodology: Quasi-experiment with a deductive logic of inquiry, executed through semi-structured interviews. READ MORE

  6. 5. Accessing credit through social relationships : a case study of cassava farmers in Central Uganda

    University essay from SLU/Department of Molecular Sciences

    Author : Susanna Larsson; [2023]
    Keywords : credit; access; agricultural market systems; value chain; moral economy; institutional bricolage;

    Abstract : The FAO aims to support local farmers in Nakasongola District, Uganda, to tap into value-added cassava market opportunities. This thesis critically examines farmers' experiences in these cassava markets, challenging classical economic assumptions that underpin the FAO project. READ MORE