A thesis on utilizing machine learning models to predict material hardship

A thesis on utilizing machine learning models to predict material hardship

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Applied Economics, 2023.

Dades bibliogràfiques
Autor principal:	Das, Tirtha
Altres autors:	Quadria, Taufiq Hasan
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2024
Matèries:	Material hardship Logistic regression Vector machine model Social equity Machine-learning Regression analysis > Data processing
Accés en línia:	http://hdl.handle.net/10361/22944

Ítems similars

Flood prediction using ensemble machine learning models
per: Rahman, Tanvir
Publicat: (2024)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
per: Shihab, Ibne Farabi, et al.
Publicat: (2018)

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

Predicting stock market trend from twitter feed and building a framework for Bangladesh
per: Karim, Shabab, et al.
Publicat: (2018)

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

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

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
per: Boateng, Albert, et al.
Publicat: (2024)

Cardiovascular disease prediction model using Machine Learning Algorithm
per: Arefin Mirdha, MD Shamsul
Publicat: (2023)

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

Performance analysis of machine learning algorithms in resume recommendation systems
per: Hasan, Ibteaz, et al.
Publicat: (2018)

Travel time prediction using machine learning and weather impact on traffic conditions
per: Deb, Bilash, et al.
Publicat: (2018)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
per: Imam, Saif
Publicat: (2021)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
per: Boateng, Albert, et al.
Publicat: (2024)

Application of machine learning techniques on the context of livestock analysis
per: Islam, Md. Shajedul, et al.
Publicat: (2018)

Machine learning for stress prediction
per: Salehin, Sherajus, et al.
Publicat: (2023)

Heart disease prediction using techniques of classification in machine learning
per: Afrose, Sadia, et al.
Publicat: (2021)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
per: Saquib, Muhammad Sadman, et al.
Publicat: (2019)

A voice signal based gender prediction model using random forest classifier
per: Ahmed, Saif, et al.
Publicat: (2018)

Data analysis on the Bangladesh share market using Machine-Learning
per: Sadman, Syed Hassan, et al.
Publicat: (2021)

Machine learning based stream selection of secondary school students in Bangladesh
per: Ahmad, Shabbir
Publicat: (2024)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
per: Farabe, Abdullah Al, et al.
Publicat: (2021)

Performance analysis of different machine learning approaches for single modal facial expression detection
per: Zinia, Surovi, et al.
Publicat: (2018)

Polycystic ovary syndrome detection using neural network.
per: Istiyaq, Tahsin, et al.
Publicat: (2024)

Heart disease prediction system
per: Amit, Tayab Al Azad, et al.
Publicat: (2022)

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

Identification of fake news using machine learning in distributed system
per: Saif, Mehruz, et al.
Publicat: (2021)

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

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

Forecasting stock market prices using advanced tools of machine learning
per: Anwar, Md. Tawhid, et al.
Publicat: (2019)

Early detection of breast cancer using machine learning
per: Fuad, Wasi Mohammad
Publicat: (2019)

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

Prediction of diabetes induced complications using different machine learning algorithms
per: Rahman, Tahsinur, et al.
Publicat: (2018)

Nonparametric bootstrapping for multiple logistic regression model using R
per: Hossain, Ahmed, et al.
Publicat: (2010)

Fraud detection in E-commerce using natural language processing
per: Kabir, Iftekhar, et al.
Publicat: (2023)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
per: Alim, Sakib Bin, et al.
Publicat: (2021)

Early grade prediction using profile data
per: Iqbal, Sumaiya, et al.
Publicat: (2021)

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

Predicting a T20 cricket match result while the match is in progress
per: Munir, Fahad, et al.
Publicat: (2015)

Nonrecursive causal models /
per: Berry, William Dale
Publicat: (1984)

Finding ideal geographical location for businesses using machine learning technique
per: Mahmud, Mir Ibtid, et al.
Publicat: (2022)