March 30, 2025

Introduction Data analysis plays a crucial role in understanding economic and social trends across countries. This project utilizes R programming to analyze key global indicators such as Gross Domestic Product (GDP), unemployment rates, life expectancy, and the Global Reporting Initiative (GRI) scores. Using spatial visualizations, regression models, and correlation analysis, we investigate the relationships between […]

Project Overview The project involves creating a server that responds to client queries by searching through a text file. This system ensures efficient query handling and rapid response times, making it useful for applications requiring fast text searches. Installation Dependencies To install the necessary dependencies, use the following command: This ensures that all required Python

Introduction Bike-sharing systems have gained popularity in urban areas, necessitating accurate demand forecasting models. This project explores the use of AutoGluon to predict bike-sharing demand by leveraging automated machine learning (AutoML) techniques. The goal was to refine predictions through exploratory data analysis (EDA), feature engineering, and hyperparameter tuning. Initial Training Upon submitting initial predictions, it