Machine learning based stream selection of secondary school students in Bangladesh

Machine learning based stream selection of secondary school students in Bangladesh

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

Bibliografiske detaljer
Hovedforfatter:	Ahmad, Shabbir
Andre forfattere:	Alam, Md. Golam Rabiul
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2024
Fag:	Regression analysis Local interpretable model agnostic explanations Stream recommendation system Bangladeshi secondary school Machine learning Regression analysis > Data processing Computational intelligence
Online adgang:	http://hdl.handle.net/10361/23585

Lignende værker

Mobile sensors based human activity recognition using machine learning with explainable ML
af: Rahman, Raihan, et al.
Udgivet: (2021)

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

Flood prediction using ensemble machine learning models
af: Rahman, Tanvir
Udgivet: (2024)

Nonrecursive causal models /
af: Berry, William Dale
Udgivet: (1984)

A thesis on utilizing machine learning models to predict material hardship
af: Das, Tirtha
Udgivet: (2024)

Applied regression : an introduction /
af: Lewis-Beck, Michael S.
Udgivet: (1980)

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

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

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

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

Multimedia issues over bluetooth (video streaming)
af: Haque, Md. Nazmul, et al.
Udgivet: (2014)

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

Predicting peak performance of a cricket player using machine learning and data analytics
af: Azam, Akif, et al.
Udgivet: (2023)

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

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

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

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

Inappropriate scene detection in a video stream
af: Tofa, Kamrun Nahar, et al.
Udgivet: (2018)

Multiple regression in behavioral research
af: Kerlinger, Fred N. (Fred Nichols), 1910-
Udgivet: (1973)

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

Credibility of TV news in a developing country: the case of Bangladesh
af: Andaleeb, Syed Saad, et al.
Udgivet: (2016)

Mostly harmless econometrics : an empiricist's companion /
af: Angrist, Joshua David
Udgivet: (2009)

Women and stream of consciousness in Virginia Woolf’s novel: “Mrs. Dalloway” and “To the Lighthouse”
af: Rahman, Farzana
Udgivet: (2018)

Practical aspects of computational river hydraulics /
af: Cunge, J. A.
Udgivet: (1980)

Bayesian smoothing and regression for longitudinal, spatial and event history data
af: Fahrmeir, L.

Logistic regression : a self-learning text /
af: Kleinbaum, David G.
Udgivet: (2002)

Multiple regression in practice /
af: Berry, William Dale
Udgivet: (1985)

How to map arguments in political science /
af: Parsons, Craig, 1970-
Udgivet: (2007)

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

Deus ex Machina? : A Framework for Macro Forecasting with Machine Learning /
af: Bolhuis, Marijn
Udgivet: (2020)

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

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

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

Factors affecting performance of the ethnic minority students in secondary schools
af: Kalam, Md. Abul
Udgivet: (2019)

Prediction on large scale data using extreme gradient boosting
af: Sawon, Md.Tariq Hasan, et al.
Udgivet: (2016)

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

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

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

Multiple outliers detection: application to research & development spending and productivity growth
af: Nurunnabi, A. A. M., et al.
Udgivet: (2010)

The promise of the coming dark age /
af: Stavrianos, Leften Stavros
Udgivet: (1976)