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.

Bibliografski detalji
Glavni autor:	Ahmad, Shabbir
Daljnji autori:	Alam, Md. Golam Rabiul
Format:	Disertacija
Jezik:	English
Izdano:	BRAC University 2024
Teme:	Regression analysis Local interpretable model agnostic explanations Stream recommendation system Bangladeshi secondary school Machine learning Regression analysis > Data processing Computational intelligence
Online pristup:	http://hdl.handle.net/10361/23585

Similar Items

Mobile sensors based human activity recognition using machine learning with explainable ML
od: Rahman, Raihan, i dr.
Izdano: (2021)

Heart attack prediction using machine learning and XAI
od: Ahsan, Mumtahina
Izdano: (2023)

Flood prediction using ensemble machine learning models
od: Rahman, Tanvir
Izdano: (2024)

Nonrecursive causal models /
od: Berry, William Dale
Izdano: (1984)

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

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

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
od: Boateng, Albert, i dr.
Izdano: (2024)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
od: Alif, Omar Farhad, i dr.
Izdano: (2023)

Public vehicle ETA system using machine learning
od: Kabir, Md. Miraz, i dr.
Izdano: (2018)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
od: Saquib, Muhammad Sadman, i dr.
Izdano: (2019)

Multimedia issues over bluetooth (video streaming)
od: Haque, Md. Nazmul, i dr.
Izdano: (2014)

A voice signal based gender prediction model using random forest classifier
od: Ahmed, Saif, i dr.
Izdano: (2018)

Predicting peak performance of a cricket player using machine learning and data analytics
od: Azam, Akif, i dr.
Izdano: (2023)

Performance analysis of machine learning algorithms in resume recommendation systems
od: Hasan, Ibteaz, i dr.
Izdano: (2018)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
od: Karim, Shabab, i dr.
Izdano: (2018)

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

Polycystic ovary syndrome detection using neural network.
od: Istiyaq, Tahsin, i dr.
Izdano: (2024)

Inappropriate scene detection in a video stream
od: Tofa, Kamrun Nahar, i dr.
Izdano: (2018)

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

Application of machine learning techniques on the context of livestock analysis
od: Islam, Md. Shajedul, i dr.
Izdano: (2018)

Credibility of TV news in a developing country: the case of Bangladesh
od: Andaleeb, Syed Saad, i dr.
Izdano: (2016)

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

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

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

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

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

Multiple regression in practice /
od: Berry, William Dale
Izdano: (1985)

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

Nonparametric bootstrapping for multiple logistic regression model using R
od: Hossain, Ahmed, i dr.
Izdano: (2010)

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

Finding ideal geographical location for businesses using machine learning technique
od: Mahmud, Mir Ibtid, i dr.
Izdano: (2022)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
od: Boateng, Albert, i dr.
Izdano: (2024)

Intelligent assisted living in pregnancy
od: Zaman, S. M. Tanveer, i dr.
Izdano: (2022)

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

Prediction on large scale data using extreme gradient boosting
od: Sawon, Md.Tariq Hasan, i dr.
Izdano: (2016)

Travel time prediction using machine learning and weather impact on traffic conditions
od: Deb, Bilash, i dr.
Izdano: (2018)

Performance analysis of different machine learning approaches for single modal facial expression detection
od: Zinia, Surovi, i dr.
Izdano: (2018)

Prediction of bipolar disorder from mental episodes using machine learning approach
od: Tasmeem, Sumaiya, i dr.
Izdano: (2023)

Multiple outliers detection: application to research & development spending and productivity growth
od: Nurunnabi, A. A. M., i dr.
Izdano: (2010)

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