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This interactive web application leverages machine learning to predict whether a telecom customer is likely to churn. Users can input customer details for real-time predictions or upload a CSV file for batch analysis.
Farmify is a Python-based project designed to help farmers with crop disease prediction, crop recommendation, and fertilizer suggestions. It utilizes machine learning models and Flask for web application development.
This project implements a flight price prediction algorithm using real-time data of Flight schedules across India.Here we have evaluated multiple ensemble machine learning techniques, optimizing the model with XGBoost and Random Forest algorithms to deliver high-performance predictive insights.
Explore bakery sales data and AI predictions with Python. Analyze trends, visualize insights, and model product sales using pandas, matplotlib, and scikit-learn in this comprehensive GitHub repository.