A machine learning approach to predict young voter enthusiasm based on non-political factors

A machine learning approach to predict young voter enthusiasm based on non-political factors

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Bibliografische gegevens
Hoofdauteurs:	Rahman, Md. Nowroz Junaed, Pantho, Md. Humaun Kabir, Fuad, Nafis
Andere auteurs:	Majumdar, Mahbubul Alam
Formaat:	Thesis
Taal:	en_US
Gepubliceerd in:	Brac University 2021
Onderwerpen:	Machine Learning Voting Young Voter Turnout Random Forest Support Vector Machine XGBoost Naive Bayes Non-political
Online toegang:	http://hdl.handle.net/10361/14463

Gelijkaardige items

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
door: Al Amin, Istiak, et al.
Gepubliceerd in: (2022)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
door: Ahmed, Md. Sabbir, et al.
Gepubliceerd in: (2021)

Parking data analysis
door: Ahamed, Kasfi, et al.
Gepubliceerd in: (2023)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
door: Sarkar, Ripa, et al.
Gepubliceerd in: (2024)

Assistive Guideline of Categorization for Competitive Programming Problems
door: Dhrubo, Najmus Sakib, et al.
Gepubliceerd in: (2021)

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

Best feature selection and data visualization for breast cancer prediction
door: Hemel, Tanjim Ahmed, et al.
Gepubliceerd in: (2020)

Prediction of earthquakes: a step towards predicting the unpredictable
door: Chowdhury, Maheen, et al.
Gepubliceerd in: (2023)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
door: Saad-Ul-Kabir, Syed, et al.
Gepubliceerd in: (2021)

Performance analysis of machine learning algorithms for Malware classification
door: Bushra, Raisa Hasan, et al.
Gepubliceerd in: (2023)

Fighting depression: psychological approaches among Bangladeshi university students
door: Sen, Sanjib Kumar, et al.
Gepubliceerd in: (2022)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
door: Alam, Auninda, et al.
Gepubliceerd in: (2021)

Cardiovascular disease prediction model using Machine Learning Algorithm
door: Arefin Mirdha, MD Shamsul
Gepubliceerd in: (2023)

Comparative study of toxic comments classification using machine learning algorithms
door: Razzak, Razia, et al.
Gepubliceerd in: (2021)

An introduction to support vector machines : and other kernel-based learning methods /
door: Cristianini, Nello
Gepubliceerd in: (2000)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
door: Sarker, Md Wafi, et al.
Gepubliceerd in: (2023)

Credit card fraud detection using machine learning techniques
door: Kabir, Tasmia, et al.
Gepubliceerd in: (2021)

Performance analysis of machine learning classi ers for detecting PE malware
door: Azmee, ABM.Adnan, et al.
Gepubliceerd in: (2020)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
door: Alim, Sakib Bin, et al.
Gepubliceerd in: (2021)

Predicting subject area interest of a student using naive bayes
door: Hossain, Shakib
Gepubliceerd in: (2016)

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

Multimodal fake news detection using text and image
door: Biswas, Trisha, et al.
Gepubliceerd in: (2024)

Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
door: Shrestha, Soptorsi Paul, et al.
Gepubliceerd in: (2021)

Recognizing sentimental emotions in text by using Machine Learning
door: Bushra, Tabassum Khan, et al.
Gepubliceerd in: (2023)

Stock market prediction using ensemble learning
door: Rabbani, Rakin Bin, et al.
Gepubliceerd in: (2021)

Heart disease prediction using techniques of classification in machine learning
door: Afrose, Sadia, et al.
Gepubliceerd in: (2021)

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

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
door: Hussain, Nadib, et al.
Gepubliceerd in: (2018)

Prediction of Epileptic Seizures using digital signal processing and support vector machine
door: Siddique, Nusayer Masud, et al.
Gepubliceerd in: (2021)

A feature selection approach to determine obesity using machine learning method
door: Antor, Shahidul Alam, et al.
Gepubliceerd in: (2021)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
door: Ahmed, Sajjad
Gepubliceerd in: (2019)

A machine learning approach to detect depression and anxiety using supervised learning
door: Ullas, Md Tahmidur Rahman, et al.
Gepubliceerd in: (2019)

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

Heart disease prediction system
door: Amit, Tayab Al Azad, et al.
Gepubliceerd in: (2022)

An effective machine learning approach for sentiment analysis of restaurant reviews
door: Karim, Rabita
Gepubliceerd in: (2018)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
door: Amiz, Asef Hassan, et al.
Gepubliceerd in: (2021)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
door: Rabbi, Md. Nafis
Gepubliceerd in: (2024)

A new approach to select adaptive Intrinsic Mode Functions (IMFs) of Empirical Mode Decomposition (EMD)
door: Sultana Nishi, Razia, et al.
Gepubliceerd in: (2016)

Cyberbullying detection using sentiment analysis in social media
door: Sintaha, Mifta, et al.
Gepubliceerd in: (2016)

Text classification using machine learning algorithms
door: Hasnat, Fahim, et al.
Gepubliceerd in: (2018)