M.Vinay Kumar

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This project is a collaborative effort by three contributors focused on extracting data from websites through web scraping techniques. We clean and process the collected data to derive meaningful insights and apply various data visualization methods to present the results effectively.

This repository demonstrates the four main Object-Oriented Programming (OOP) principles in Java: abstraction, encapsulation, inheritance, and polymorphism. Each concept is illustrated with clear, practical examples to help beginners understand and apply OOP in their Java programs

Logistic Regression model built using a housing dataset to predict whether a house is high-priced or not based on features like area, number of bedrooms, bathrooms, and stories. The project includes a comparison between models trained on unscaled vs. scaled data, demonstrating the effect of feature scaling on model performance.

This project is a relational database system designed to manage and organize data within a university setting. The system models essential components of academic operations, including student records, professor information, courses offered, and course enrollments.

This Power BI dashboard presents an interactive and insightful analysis of the Titanic passenger survival rates based on various demographic and travel-related factors. The dashboard leverages the historic Titanic dataset to explore patterns in survival outcomes and uncover key insights.