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.
Auteurs principaux: | Rayhan, Mohammad, Sultana, Samiha, Majid, Annur |
---|---|
Autres auteurs: | Alam, Md. Golam Rabiul |
Format: | Thèse |
Langue: | en_US |
Publié: |
Brac University
2020
|
Sujets: | |
Accès en ligne: | http://hdl.handle.net/10361/14060 |
Documents similaires
-
Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
par: Ahmed, Md. Sabbir, et autres
Publié: (2021) -
Affective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting
par: khan, Md. Sakib, et autres
Publié: (2021) -
A comparative study of deep learning methods for automating road condition characterization
par: Ruhi, Zurana Mehrin, et autres
Publié: (2021) -
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
par: Tasnim, Anika, et autres
Publié: (2022) -
A comparative performance analysis of accident anticipation with deep learning extractors
par: Mostak, Alfi Mashab, et autres
Publié: (2023)