Prediction Of New Covid Customers Using ARIMA Model
The primary aim of this project was to forecast the daily count of new COVID-19 infections in Bangladesh.
Projects
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
Bank Customers Subscription Prediction Using Machine Learning Methods
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.
Analysis of Subscribed Customers Characteristics by Multivariate Methods
Analyzed data from direct marketing campaigns conducted by a Portuguese bank to predict whether clients would subscribe after telemarketing efforts
Local and Global Stability in Epidemiology using Lyapunov Function
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.
New Covid Customers Prediction Using GARCH Model
The main objective of this project was to predict the daily number of new COVID-19 infections in Bangladesh.
Inventory Management System Demo Pages
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.
Karel-s-Colorful-Painting-Program
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.
Monthly Sales Prediction of Tomato Using Time Series Model
This project involved applying time series analysis to a dataset to track the fluctuations in monthly sales quantities over time. 