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.

Xehetasun bibliografikoak
Egile Nagusiak:	Usha, Rowshni Tasneem, Parvez, Shiny Raisa, Sejuti, Fariha Sazid, Hossain, Maisha
Beste egile batzuk:	Majumdar, Mahbub
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2019
Gaiak:	Machine learning Prediction Decision tree Random forest Ranking algorithm Major selection AHP
Sarrera elektronikoa:	http://hdl.handle.net/10361/12276

Antzeko izenburuak

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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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Heart disease prediction using machine learning algorithms
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Predicting depression in Bangladeshi undergraduates using machine learning
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Cardiovascular disease prediction model using Machine Learning Algorithm
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Finding suitable locations for live campaigns using different machine learning techniques
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Predicting climate induced floods using machine learning
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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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Argitaratua: (2020)

Crop prediction based on geographical and climatic data using machine learning and deep learning
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A machine learning approach to predict young voter enthusiasm based on non-political factors
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Fighting depression: psychological approaches among Bangladeshi university students
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Application of machine learning techniques on the context of livestock analysis
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Health monitoring IoT device with risk prediction using cloud computing and machine learning
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Early grade prediction using profile data
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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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Public vehicle ETA system using machine learning
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