Bank loan prediction using machine learning

Bank loan prediction using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiske detaljer
Main Authors:	Mahottam, Parthosarothi, Anika, Antara Raida, Jahan, Dilshad, Lazika, Tanzina Afrin
Andre forfattere:	Nahim, Nabuat Zaman
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	XGBoost Decision tree LIME XAI(Explainable artificial intelligence) Machine learning Artificial intelligence
Online adgang:	http://hdl.handle.net/10361/21984

Lignende værker

Heart attack prediction using machine learning and XAI
af: Ahsan, Mumtahina
Udgivet: (2023)

Exploring Alzheimer's disease prediction with XAI in various neural network models
af: Rahman, Quazi Ashikur, et al.
Udgivet: (2022)

XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
af: Rahman, Anika
Udgivet: (2024)

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

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

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
af: Rahman, Tahsinur, et al.
Udgivet: (2023)

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

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

Implementing A.I based solutions to understand & predict consumer sentiment
af: Bin Ahmed, Omar
Udgivet: (2023)

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

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

Ripple down rule based decision intelligence for mental disorder diagnosis
af: Rahman, G.M. Arafat, et al.
Udgivet: (2024)

Voice impersonation detection using LSTM based RNN and explainable AI
af: Barua, Kawshik, et al.
Udgivet: (2022)

Personalization in federated recommendation system using SVD++ with explainability
af: Patwary, Kabbya Kantam, et al.
Udgivet: (2022)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
af: Haque, Abid Hossain, et al.
Udgivet: (2024)

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

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
af: Khan, Labib Hasan, et al.
Udgivet: (2023)

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

Making AI intelligible :
af: Cappelen, Herman

Artificial Intelligence : a new synthesis /
af: Nilsson, Nils J., 1933-
Udgivet: (1998)

Artificial intelligence /
af: Rich, Elaine
Udgivet: (1991)

Artificial intelligence : a modern approach /
af: Russell, Stuart J. (Stuart Jonathan)
Udgivet: (2003)

Introduction to artificial intelligence /
af: Charniak, Eugene
Udgivet: (1985)

Principles of artificial intelligence /
af: Nilsson, Nils J., 1933-
Udgivet: (1980)

Artificial intelligence /
af: Winston, Patrick Henry
Udgivet: (1992)

Artificial intelligence at MIT : expanding frontiers /
Udgivet: (1990)

Introduction to artificial intelligence /
af: Jackson, Philip C., 1949-
Udgivet: (1985)

Flood prediction using machine learning models
af: Syeed, Miah Mohammad Asif, et al.
Udgivet: (2022)

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

Demystifying machine learning models for IOT attack detection with explainable AI
af: Muna, Rabeya Khatun, et al.
Udgivet: (2021)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
af: Alif, Omar Farhad, et al.
Udgivet: (2023)

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

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

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

Introduction to AI robotics /
af: Murphy, Robin, 1957-
Udgivet: (2000)

Intelligent systems and robotics /
Udgivet: (2000)

Artificial intelligence : a modern approach /
af: Russell, Stuart J. (Stuart Jonathan)
Udgivet: (2016)

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

Intelligent assisted living in pregnancy
af: Zaman, S. M. Tanveer, et al.
Udgivet: (2022)

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