Application of machine learning in credit risk assessment: a prelude to smart banking

Application of machine learning in credit risk assessment: a prelude to smart banking

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Bibliographische Detailangaben
Hauptverfasser:	Dhruba, Mir Ishrak Maheer, Ghani, Nawab Haider, Hossain, Sazzad, Shoumo, Syed Zamil Hasan
Weitere Verfasser:	Arif, Hossain
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	BRAC University 2019
Schlagworte:	Machine learning Risk assessment Smart banking Artificial intelligence. Machine learning.
Online Zugang:	http://hdl.handle.net/10361/11410

Ähnliche Einträge

Alumni opportunities using machine learning
von: Siaum, Arshif Sharlimin, et al.
Veröffentlicht: (2019)

A machine learning approach to credit default prediction and Individual credit scoring
von: Rahman, Md. Jaber, et al.
Veröffentlicht: (2018)

Machine learning approach for improving decision support in ICU
von: Siddiquee, Mohib Billah, et al.
Veröffentlicht: (2019)

Predicting climate induced floods using machine learning
von: Saleh, Chowdhury Nafis, et al.
Veröffentlicht: (2022)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
von: Rafat, Md. Tasbi, et al.
Veröffentlicht: (2023)

Real time performance analysis on DDoS attack detection using machine learning
von: Suvra, Debashis Kar, et al.
Veröffentlicht: (2021)

Comparison of machine learning techniques to predict cardiovascular disease
von: Jaber, Mir Mohammad, et al.
Veröffentlicht: (2019)

Start up business solution using machine learning
von: Sohan, Saad Ahmed, et al.
Veröffentlicht: (2018)

Bank loan prediction using machine learning
von: Mahottam, Parthosarothi, et al.
Veröffentlicht: (2023)

Machine learning approach for ECG analysis and predicting different heart diseases
von: Tithi, Sushmita Roy, et al.
Veröffentlicht: (2019)

Detecting propagandistic poster title: a machine learning approach
von: Mahmood, Riaz, et al.
Veröffentlicht: (2024)

Crop prediction based on geographical and climatic data using machine learning and deep learning
von: Alif, Al Amin, et al.
Veröffentlicht: (2019)

Impact of machine learning and deep learning on biomedical applications and healthcare industry
von: Kabir, Md Saif, et al.
Veröffentlicht: (2024)

The role of artificial intelligent in streamlining assurance and supervision procedures for CVC Finance Limited
von: Salman, Md. Mostafa
Veröffentlicht: (2024)

Implementation of diffusion model in realistic face generation
von: Rahman, Abidur, et al.
Veröffentlicht: (2024)

Investigation assistant with suspect anticipating intelligence
von: Abdullah, Saqueeb, et al.
Veröffentlicht: (2019)

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
von: Hossain, Ashraful, et al.
Veröffentlicht: (2024)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
von: Rahman, Masroor, et al.
Veröffentlicht: (2023)

Yoga posture recognition using the deep learning process
von: Islam, Abidul, et al.
Veröffentlicht: (2023)

Heart disease prediction using machine learning algorithms
von: Ali, Musfiq, et al.
Veröffentlicht: (2019)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
von: Turjo, Aquib Abtahi, et al.
Veröffentlicht: (2021)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
von: Ferdous, Md.Rubaiat, et al.
Veröffentlicht: (2024)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
von: Shakil, Mahmudul Hasan
Veröffentlicht: (2023)

Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
von: Sayma, Sadika, et al.
Veröffentlicht: (2024)

NLP-based AI robot for intelligent interaction
von: Dastagir, Golam, et al.
Veröffentlicht: (2024)

Public vehicle ETA system using machine learning
von: Kabir, Md. Miraz, et al.
Veröffentlicht: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
von: Choudhury, Ahnaf Atef, et al.
Veröffentlicht: (2019)

Analysis of the impact of online education using EEG signals and machine learning algorithms
von: Hoque, Ehsanul, et al.
Veröffentlicht: (2021)

Machine learning as an indicator for breast cancer prediction
von: Shadman, Tahsin Mohammed, et al.
Veröffentlicht: (2019)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
von: Sharma, Tanmoyee, et al.
Veröffentlicht: (2021)

A review on the role of artificial intelligence in healthcare transformation
von: Brishti, Iffat Ara
Veröffentlicht: (2024)

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
von: Marvin, Ggaliwango
Veröffentlicht: (2022)

Explainable artificial intelligence and model calibration for water quality prediction
von: Hellen, Nakayiza
Veröffentlicht: (2022)

Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
von: Zahir, Shafkat, et al.
Veröffentlicht: (2023)

Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
von: Rukaiya, Maymuna, et al.
Veröffentlicht: (2023)

The impact of artificial intelligence on the financial sector
von: Siddiqui, Ria
Veröffentlicht: (2024)

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

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

A deep learning approach for prediction of ADHD using brain structure
von: Siam, Shafin Ahad, et al.
Veröffentlicht: (2024)

Machine Learning /
von: Mitchell, Tom M. (Tom Michael), 1951-
Veröffentlicht: (1997)