Machine Learning project that predicts flight ticket prices using data preprocessing, feature engineering, and regression algorithms in Python.
Random Forest model to predict copper recovery in bioleaching systems using experimental datasets.
Playwright + TypeScript E2E framework for Sauce Demo (Swag Labs): Featuring Page Object Model, robust reporting, and cross-browser testing for scalable, maintainable UI automation.
Statistical data analysis and machine learning for London bike-sharing demand prediction.
A machine learning project to predict Bangalore house prices based on sq. ft. area, number of bedrooms, and bathrooms using Linear Regression, with a Flask-based backend and web interface for generating predictions.
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