Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Κύριοι συγγραφείς: | Alam, Md. Iftekharul, Rahman, MD Jubaier, Shakil, Nurul Islam, Ibnat, Maisha, Tasnia, Rifah |
---|---|
Άλλοι συγγραφείς: | Noor, Jannatun |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
Brac University
2024
|
Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/10361/23075 |
Παρόμοια τεκμήρια
-
Share market forecasting with LSTM neural network and sentimental trend prediction
ανά: Rony, Ismail Hossain, κ.ά.
Έκδοση: (2020) -
Stock price prediction
ανά: Das, Kaushik, κ.ά.
Έκδοση: (2023) -
Forecasting stock market prices using advanced tools of machine learning
ανά: Anwar, Md. Tawhid, κ.ά.
Έκδοση: (2019) -
Impact of fundamental factors on stock price: a case based approach on pharmaceutical companies listed with dhaka stock exchange
ανά: Haque, Samina, κ.ά.
Έκδοση: (2016) -
A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
ανά: Maliha, Miftahul Zannat, κ.ά.
Έκδοση: (2023)