Forecasting stock market prices using advanced tools of machine learning

Forecasting stock market prices using advanced tools of machine learning

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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Anwar, Md. Tawhid, Rahman, Saidur
Άλλοι συγγραφείς:	Majumdar, Mahbub
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	BRAC University 2019
Θέματα:	Stock market Dhaka stock exchange Technical analysis Machine learning Neural network Prediction Random forest Logistic regression Machine learning.
Διαθέσιμο Online:	http://hdl.handle.net/10361/12292

Παρόμοια τεκμήρια

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Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
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Weather forecasting using Deep Learning
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A feature selection approach to determine obesity using machine learning method
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Analysis of financial data on the time series using data from the stock market
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Flood prediction using ensemble machine learning models
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Cardiovascular disease prediction model using Machine Learning Algorithm
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Comparative analysis of machine learning models for stock price analysis across different dataset sizes
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Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
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