A counseling system to predict the study path for freshmen

A counseling system to predict the study path for freshmen

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Bibliographic Details
Main Authors:	Usha, Rowshni Tasneem, Parvez, Shiny Raisa, Sejuti, Fariha Sazid, Hossain, Maisha
Other Authors:	Majumdar, Mahbub
Format:	Thesis
Language:	English
Published:	BRAC University 2019
Subjects:	Machine learning Prediction Decision tree Random forest Ranking algorithm Major selection AHP
Online Access:	http://hdl.handle.net/10361/12276

Similar Items

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

Predicting stock market movement using sentiment analysis of twitter feed
by: Chakraborty, Pranjal, et al.
Published: (2017)

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

Machine learning for stress prediction
by: Salehin, Sherajus, et al.
Published: (2023)

Credit card fraud detection using machine learning techniques
by: Kabir, Tasmia, et al.
Published: (2021)

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

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

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

A hybrid rumor detection model derived from a comparative study of supervised approaches
by: Aothoi, Mehzabin Sadat, et al.
Published: (2023)

Detecting online recruitment fraud by using machine learning
by: Ghosh, Gitanjali, et al.
Published: (2021)

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

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

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

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

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

Application of CNN based architectures in detection of distracted drivers
by: Arafin, Irfana, et al.
Published: (2023)

Prediction of coronary heart diseases using supervised machine learning algorithms
by: Salam, Nazia Binte, et al.
Published: (2023)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
by: Mahmud, Booshra Nazifa, et al.
Published: (2019)

Finding suitable locations for live campaigns using different machine learning techniques
by: Qudar, Mohiuddin Md. Abdul, et al.
Published: (2018)

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

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

Machine learning based data processing and latency reduction in the internet of things for agriculture
by: Rahman, Sajeed Ur, et al.
Published: (2019)

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

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

A machine learning approach on classifying orthopedic patients based on their biomechanical features
by: Hasan, Kamrul, et al.
Published: (2018)

An advanced hospital rating system using machine learning and natural language processing
by: Tamjid, Ali Asgar, et al.
Published: (2023)

Observing mega cities to grow from space and predicting its growth using machine learning techniques
by: Chakma, Mitesh, et al.
Published: (2018)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
by: Oishi, Fayza Rezwana, et al.
Published: (2020)

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

A machine learning approach to predict young voter enthusiasm based on non-political factors
by: Rahman, Md. Nowroz Junaed, et al.
Published: (2021)

Fighting depression: psychological approaches among Bangladeshi university students
by: Sen, Sanjib Kumar, et al.
Published: (2022)

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

Health monitoring IoT device with risk prediction using cloud computing and machine learning
by: Das, Anindya, et al.
Published: (2021)

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

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

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

Predictive location generation using machine learning approach
by: Hasan, S.A.M Khaled, et al.
Published: (2018)

Empowering mobile network planning through deep learning: a path to democratization
by: Nabi, Syed Tauhidun
Published: (2024)

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

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