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.

Bibliografiske detaljer
Main Authors:	Usha, Rowshni Tasneem, Parvez, Shiny Raisa, Sejuti, Fariha Sazid, Hossain, Maisha
Andre forfattere:	Majumdar, Mahbub
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2019
Fag:	Machine learning Prediction Decision tree Random forest Ranking algorithm Major selection AHP
Online adgang:	http://hdl.handle.net/10361/12276

Lignende værker

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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
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Prediction of bipolar disorder from mental episodes using machine learning approach
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Predicting depression in Bangladeshi undergraduates using machine learning
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A hybrid rumor detection model derived from a comparative study of supervised approaches
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Machine learning-based approach on predicting online shopping addiction using EEG signals
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Prediction of coronary heart diseases using supervised machine learning algorithms
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Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
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Machine learning based data processing and latency reduction in the internet of things for agriculture
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Heart disease prediction system
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A machine learning approach on classifying orthopedic patients based on their biomechanical features
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An advanced hospital rating system using machine learning and natural language processing
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Observing mega cities to grow from space and predicting its growth using machine learning techniques
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Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
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A machine learning approach to predict young voter enthusiasm based on non-political factors
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Application of machine learning techniques on the context of livestock analysis
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Comparison of machine learning techniques to predict cardiovascular disease
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Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
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Predictive location generation using machine learning approach
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Empowering mobile network planning through deep learning: a path to democratization
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Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
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Public vehicle ETA system using machine learning
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