Data analysis on the Bangladesh share market using Machine-Learning

Data analysis on the Bangladesh share market using Machine-Learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Sadman, Syed Hassan, Rahat, Hasib Al, Hamim, Atikur Rahman, Al Kafi, Sultan Gias Uddin, Khan, Nasik Ali
Άλλοι συγγραφείς:	Rahman, Tanvir
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2021
Θέματα:	Data Mining Machine Learning Stock Market Prediction Linear Regression Analysis K-Nearest Neighbour Support Vector Machine Lasso Analysis Market share > Bangladesh
Διαθέσιμο Online:	http://hdl.handle.net/10361/14991

Παρόμοια τεκμήρια

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Best feature selection and data visualization for breast cancer prediction
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Έκδοση: (2020)

Flood prediction using machine learning models
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Έκδοση: (2022)

Effectiveness of data mining in predicting heart diseases
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Performance analysis of machine learning algorithms for Malware classification
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Cardiovascular disease prediction model using Machine Learning Algorithm
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Έκδοση: (2018)

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Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
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Modelling and forecasting energy demand of Bangladesh using AI based algorithms
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Polycystic ovary syndrome detection using neural network.
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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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A thesis on utilizing machine learning models to predict material hardship
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The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
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Cyberbullying detection using sentiment analysis in social media
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