Stock market prediction using ensemble learning

Stock market prediction using ensemble learning

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

Библиографические подробности
Главные авторы:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Другие авторы:	Majumdar, Mahbub
Формат:	Диссертация
Язык:	en_US
Опубликовано:	Brac University 2021
Предметы:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
Online-ссылка:	http://hdl.handle.net/10361/14360

Схожие документы

Prediction on large scale data using extreme gradient boosting
по: Sawon, Md.Tariq Hasan, и др.
Опубликовано: (2016)

Heart disease prediction using techniques of classification in machine learning
по: Afrose, Sadia, и др.
Опубликовано: (2021)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
по: Saad-Ul-Kabir, Syed, и др.
Опубликовано: (2021)

Early detection of chronic kidney disease using machine learning
по: Abrar, Tahmid, и др.
Опубликовано: (2019)

Performance analysis of machine learning algorithms for Malware classification
по: Bushra, Raisa Hasan, и др.
Опубликовано: (2023)

Prediction of earthquakes: a step towards predicting the unpredictable
по: Chowdhury, Maheen, и др.
Опубликовано: (2023)

Prediction of bipolar disorder from mental episodes using machine learning approach
по: Tasmeem, Sumaiya, и др.
Опубликовано: (2023)

Analysis on the effects of wallstreetbets on the stock market
по: Hossain, Abir, и др.
Опубликовано: (2022)

Speech emotion detection using supervised, unsupervised and feature selection algorithms
по: Rifat, Abu Nuraiya Mahfuza Yesmin, и др.
Опубликовано: (2019)

Predicting stock market movement using sentiment analysis of twitter feed
по: Chakraborty, Pranjal, и др.
Опубликовано: (2017)

Detecting online recruitment fraud by using machine learning
по: Ghosh, Gitanjali, и др.
Опубликовано: (2021)

Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
по: Islam, Saqib Al, и др.
Опубликовано: (2020)

Sentiment analysis for Bengali newspaper headlines
по: Hossain, Mohammad Samman, и др.
Опубликовано: (2017)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
по: Turjo, Aquib Abtahi, и др.
Опубликовано: (2021)

Forecasting stock market prices using advanced tools of machine learning
по: Anwar, Md. Tawhid, и др.
Опубликовано: (2019)

Sensitiveness of stock market returns to macroeconomic determinants; an empirical study on the pharmaceutical industry of Dhaka Stock Exchange
по: Tasrin, Ibnat
Опубликовано: (2024)

Finding habitable exo planets using boosting algorithm
по: Rahman, Md. Mashfiq, и др.
Опубликовано: (2020)

How the stock market works /
Опубликовано: (1993)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
по: Sarkar, Ripa, и др.
Опубликовано: (2024)

Stock price prediction using time series data
по: Mazed, Mashtura
Опубликовано: (2019)

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

An approach to detect epileptic seizure using XAI and machine learning
по: Bijoy, Emam Hasan, и др.
Опубликовано: (2022)

Potential of the stock trade of Bangladesh: An overview of BRAC EPL stock brokerage
по: Binte Zahid, Jannat
Опубликовано: (2023)

The global stock market
по: Wójcik, Dariusz

A random walk down Wall Street : including a life-cycle guide to personal investing /
по: Malkiel, Burton Gordon
Опубликовано: (1999)

Market efficiency in weak form: empirical evidence from Bangladesh Stock Market
по: Hossain, Md. Delowar
Опубликовано: (2019)

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

A feature selection approach to determine obesity using machine learning method
по: Antor, Shahidul Alam, и др.
Опубликовано: (2021)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
по: Alam, Auninda, и др.
Опубликовано: (2021)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
по: Karim, Shabab, и др.
Опубликовано: (2018)

Impact of fundamental factors on stock price: a case based approach on pharmaceutical companies listed with dhaka stock exchange
по: Haque, Samina, и др.
Опубликовано: (2016)

ML based career suggestive system for informal job sector considering cognitive skills
по: Tonny, Ms. Ayesha Siddika, и др.
Опубликовано: (2023)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
по: Farabi, Farhan, и др.
Опубликовано: (2023)

Prediction of diabetes induced complications using different machine learning algorithms
по: Rahman, Tahsinur, и др.
Опубликовано: (2018)

Predicting subject area interest of a student using naive bayes
по: Hossain, Shakib
Опубликовано: (2016)

Current stock market of Bangladesh
по: Tabassum, Mehnaj
Опубликовано: (2014)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
по: Alim, Sakib Bin, и др.
Опубликовано: (2021)

Stock market prediction using time series analysis
по: Hira, Farhan Islam, и др.
Опубликовано: (2019)

Common stock valuation of Orion Pharma Limited
по: Dina, Priya Darshini
Опубликовано: (2018)

SmartMoney stock picker's bible /
по: Huang, Nellie S.
Опубликовано: (2002)