Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
Hoofdauteurs: | Rayhan, Mohammad, Sultana, Samiha, Majid, Annur |
---|---|
Andere auteurs: | Alam, Md. Golam Rabiul |
Formaat: | Thesis |
Taal: | en_US |
Gepubliceerd in: |
Brac University
2020
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/14060 |
Gelijkaardige items
-
Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
door: Ahmed, Md. Sabbir, et al.
Gepubliceerd in: (2021) -
Affective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting
door: khan, Md. Sakib, et al.
Gepubliceerd in: (2021) -
A comparative study of deep learning methods for automating road condition characterization
door: Ruhi, Zurana Mehrin, et al.
Gepubliceerd in: (2021) -
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
door: Tasnim, Anika, et al.
Gepubliceerd in: (2022) -
A comparative performance analysis of accident anticipation with deep learning extractors
door: Mostak, Alfi Mashab, et al.
Gepubliceerd in: (2023)