Abstract The evolution of deep learning models alongside advancements in image processing has led to groundbreaking solutions in addressing agricultural challenges, particularly in automating the ...
This project delves into the intricate connections between various platforms to enable users to effectively track their daily expenses and gain actionable insights into their financial health. It h...
This article introduces an automated image processing tool developed in Python that includes functions for enhancing images using Contrast Limited Adaptive Histogram Equalization (CLAHE) and perfor...
This blog introduces an automated sentiment analysis solution for YouTube comments using Python and Transformers. This approach empowers users to efficiently analyze comments and derive valuable in...
This article explores how accurate demand forecasting and efficient inventory management, using the “Superstore Sales” dataset, can enhance supply chain efficiency for businesses. Background Supp...
The following article is a part of my Big Data Management Project for NoSQL via MongoDB. The first part of the project was done entirely in SQL and the details for that can be accessed here. Intro...
This article is a component of my Power BI project, which centers around OLIST, a fictitious Brazilian e-commerce platform. It utilizes Microsoft Power BI to create dashboards covering various aspe...
The following article is part of my Big Data Management RDBMS Project, which is written in SQL and executed in MySQL Workbench. The project’s requirements included acquiring a relatively large data...
This article describes the process of unsupervised learning on Telco Churn data, available on Kaggle. The aim is to predict customer churn, a crucial metric in the telecom industry. The dataset, “C...
This article is a component of my Power BI project, which revolves around rectifying incorrect visualizations. Our primary goal is to gain a thorough understanding of the data and implement appropr...