Essays about: "credit general"

Showing result 1 - 5 of 86 essays containing the words credit general.

  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. Evaluating Random Forest and k-Nearest Neighbour Algorithms on Real-Life Data Sets

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

    Author : Atheer Salim; Milad Farahani; [2023]
    Keywords : Random Forest; k-Nearest Neighbour; Evaluation; Machine Learning; Classification; Execution Time; Slumpmässig Skog; k-Närmaste Granne; Utvärdering; Maskininlärning; Klassificiering; Exekveringstid;

    Abstract : Computers can be used to classify various types of data, for example to filter email messages, detect computer viruses, detect diseases, etc. This thesis explores two classification algorithms, random forest and k-nearest neighbour, to understand how accurately and how quickly they classify data. READ MORE

  4. 3. Exploring the interactions between local public opinion, the media, and foreign policy toward Chinese investments in Ecuador

    University essay from Stockholms universitet/Nordiska Latinamerikainstitutet

    Author : Anuar Temirov; [2022]
    Keywords : Public opinion about China; Ecuador; foreign policy; Ecuadorian media; Chinese credit and investment; time series regression; content analysis;

    Abstract : In an increasingly polarizing world, the debate on the importance of public opinion in shaping foreign policy decisions has been raging over. This study explores the interactions between Chinese investment and credit and public opinion about China in Ecuador from 2012 to 2021 through two classical international relations theories: the realist and liberal hypotheses. READ MORE

  5. 4. Classification Method of Financial Behaviour Through Means of Machine Learning : Can a classification method created using bank transaction and machine learning help individuals to understand their spending behavior?

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

    Author : Yilei Cheng; Akhmed Al-Sayed; [2022]
    Keywords : machine learning; bank transactions; classification; spending behaviour; overspending; money awareness.; maskininlärning; banktransaktioner; klassificering; utgiftsbeteende; överutgifter; finansiell kunskap.;

    Abstract : With the current fast transformation from physical cash to digitized banking systems, there are more and more people that are at risk of overspending without realizing it. There are methods and researches done that are targeted at incorporating machine learning in identifying fraudulent transactions and credit scores but currently there is no research done in categorizing people’s behaviour based on transaction records using machine learning techniques. READ MORE

  6. 5. Credit Modeling with Behavioral Data

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

    Author : Jingning Zhou; [2022]
    Keywords : Credit modeling; Behavioral data; Feature engineering; Kreditmodellering; Beteendedata; Funktionsteknik;

    Abstract : In recent years, the Buy Now Pay Later service has spread across the e-commerce industry, and credit modeling is inevitable of interest for related companies to predict the default rate of the customers. The traditional data used in such models are financial bureaus which include credit records bought from external financial institutions. READ MORE