Comparative analysis and implementation of credit risk prediction through distinct machine learning models

Comparative analysis and implementation of credit risk prediction through distinct machine learning models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografische gegevens
Hoofdauteurs:	Turjo, Aquib Abtahi, Karim, S.M. Mynul, Biswas, Tausif Hossain, Rahman, Yeaminur, Dewan, Ifroim
Andere auteurs:	Hossain, Muhammad Iqbal
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2021
Onderwerpen:	Credit Risk Loan Machine Learning Regression Model Gradient Boosting Deep Learning Neural Networks Support Vector Random Forest
Online toegang:	http://hdl.handle.net/10361/15189

Gelijkaardige items

Prediction of bipolar disorder from mental episodes using machine learning approach
door: Tasmeem, Sumaiya, et al.
Gepubliceerd in: (2023)

Prediction of earthquakes: a step towards predicting the unpredictable
door: Chowdhury, Maheen, et al.
Gepubliceerd in: (2023)

Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
door: Islam, Saqib Al, et al.
Gepubliceerd in: (2020)

Speech emotion detection using supervised, unsupervised and feature selection algorithms
door: Rifat, Abu Nuraiya Mahfuza Yesmin, et al.
Gepubliceerd in: (2019)

Detecting online recruitment fraud by using machine learning
door: Ghosh, Gitanjali, et al.
Gepubliceerd in: (2021)

A hybrid rumor detection model derived from a comparative study of supervised approaches
door: Aothoi, Mehzabin Sadat, et al.
Gepubliceerd in: (2023)

Fighting depression: psychological approaches among Bangladeshi university students
door: Sen, Sanjib Kumar, et al.
Gepubliceerd in: (2022)

Stock market prediction using ensemble learning
door: Rabbani, Rakin Bin, et al.
Gepubliceerd in: (2021)

Application of CNN based architectures in detection of distracted drivers
door: Arafin, Irfana, et al.
Gepubliceerd in: (2023)

A machine learning approach to detect depression and anxiety using supervised learning
door: Ullas, Md Tahmidur Rahman, et al.
Gepubliceerd in: (2019)

Aspect based opinion mining on restaurant reviews
door: Tonmoy, Sazid Hasan, et al.
Gepubliceerd in: (2024)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
door: Sarker, Md Wafi, et al.
Gepubliceerd in: (2023)

A machine learning approach to predict young voter enthusiasm based on non-political factors
door: Rahman, Md. Nowroz Junaed, et al.
Gepubliceerd in: (2021)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
door: Rahee, Arnob, et al.
Gepubliceerd in: (2021)

Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
door: Rahman, Fahim, et al.
Gepubliceerd in: (2021)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
door: Tasnim, Anika, et al.
Gepubliceerd in: (2022)

Credit card fraud detection using machine learning techniques
door: Kabir, Tasmia, et al.
Gepubliceerd in: (2021)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
door: Saad-Ul-Kabir, Syed, et al.
Gepubliceerd in: (2021)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
door: Toufique, S.M, et al.
Gepubliceerd in: (2024)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
door: Islam, Zahedul, et al.
Gepubliceerd in: (2023)

Predicting crime using deep learning
door: Shihab, Muhammad Nafees, et al.
Gepubliceerd in: (2024)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
door: Ahmed, Sajjad
Gepubliceerd in: (2019)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
door: Bhattacharjee, Ruposri, et al.
Gepubliceerd in: (2024)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
door: Hasan, M. M. Kamrul, et al.
Gepubliceerd in: (2022)

A counseling system to predict the study path for freshmen
door: Usha, Rowshni Tasneem, et al.
Gepubliceerd in: (2019)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
door: Biswas, Sunanda, et al.
Gepubliceerd in: (2022)

Cardiovascular disease prediction model using Machine Learning Algorithm
door: Arefin Mirdha, MD Shamsul
Gepubliceerd in: (2023)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
door: Rayhan, Mohammad, et al.
Gepubliceerd in: (2020)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
door: Ahmed, Md. Sabbir, et al.
Gepubliceerd in: (2021)

Early detection of chronic kidney disease using machine learning
door: Abrar, Tahmid, et al.
Gepubliceerd in: (2019)

A modern technique to detect potholes by Computer Vision and Deep Learning
door: Saif, Muntasir Mahmud, et al.
Gepubliceerd in: (2023)

Performance analysis of machine learning algorithms for Malware classification
door: Bushra, Raisa Hasan, et al.
Gepubliceerd in: (2023)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
door: Fahim, Kaji Mehedi Hasan, et al.
Gepubliceerd in: (2024)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
door: Alam, Auninda, et al.
Gepubliceerd in: (2021)

Corn leaf disease detection using deep convolution neural network
door: Rabbi, Rawhatur, et al.
Gepubliceerd in: (2023)

Exploring machine learning techniques for symptom-based detection of livestock diseases
door: Niloy, Mahir Ahmed, et al.
Gepubliceerd in: (2024)

Machine learning-based approach on predicting online shopping addiction using EEG signals
door: Nawer, Nafisa, et al.
Gepubliceerd in: (2023)

Weather forecasting using Deep Learning
door: Fahad, Sheikh Abdul, et al.
Gepubliceerd in: (2023)

An interpretable transformer based approach to classify Malaria from blood cell images
door: Islam, Mehafuza, et al.
Gepubliceerd in: (2023)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
door: Hussain, Nadib, et al.
Gepubliceerd in: (2018)