Analysis on Reviews of Amazon Products
Exploring E-Commerce Reviews on Amazon using Bidirectional Recurrent Neural Network (RNN) and Long-Short Term Memory (LSTM) For Sentiment and Recommendation Analysis
Exploring E-Commerce Reviews on Amazon using Bidirectional Recurrent Neural Network (RNN) and Long-Short Term Memory (LSTM) For Sentiment and Recommendation Analysis
Short description of portfolio item number 2
The primary aim of this project was to forecast the daily count of new COVID-19 infections in Bangladesh.
Exploring E-Commerce Reviews on Amazon using Bidirectional Recurrent Neural Network (RNN) and Long-Short Term Memory (LSTM) For Sentiment and Recommendation Analysis
Data from the direct marketing campaigns of a Portuguese banking institution was analyzed to predict whether clients would subscribe after telemarketing efforts, utilizing various machine learning techniques.
Analyzed data from direct marketing campaigns conducted by a Portuguese bank to predict whether clients would subscribe after telemarketing efforts
This project explores Lyapunov functions for assessing equilibrium stability, their role in dynamical system analysis, and the use of the Dulac Criterion and La Salle’s Principle for epidemic model stability.
The main objective of this project was to predict the daily number of new COVID-19 infections in Bangladesh.
This project involved developing a Python application for managing inventory in an online grocery store, featuring functionality to connect to a custom MySQL database and present operational pages on the web.
This code implements a program for Karel the Robot to paint corners in a grid using various colors (green, blue, cyan, pink, and white) by defining specific functions for each color and using helper functions for movement and turning.
This project involved applying time series analysis to a dataset to track the fluctuations in monthly sales quantities over time.
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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