N R Pratiksha

Personal portfolio website showcasing my projects, skills, and experience as a developer.

Predict happiness scores from income using Flask & ML. A simple Flask-based web app that uses a Linear Regression model (scikit-learn) to predict an individual's happiness score from their income. Features a clean HTML/CSS frontend, is Render-ready for cloud deployment, and includes a pre-trained model for instant predictions.

This repository contains a complete machine learning project for detecting fraudulent credit card transactions. It includes data preprocessing, model training, evaluation, and a web application for real-time predictions.

This project uses machine learning to predict customer churn based on user behavior and demographics. It includes data preprocessing, model training, evaluation metrics, and a deployed web app for real-time predictions. Great for exploring real-world applications of ML in business analytics.

No project description available.

Optify is a frontend-focused repository featuring three interactive React projects: an Image Slider with smooth animations, a To-Do List app for task management with local storage support, and a fully functional React Calculator. These projects demonstrate practical React skills including state management, event handling, and responsive design.