End-to-end SaaS revenue analytics project using Python, SQL, and data visualization to analyze revenue trends, churn, retention, and customer behavior.

Crop Disease Detection using Machine Learning is a CNN-based system that identifies crop diseases from leaf images and provides preventive measures, helping farmers detect diseases early and reduce ...

Abstract: Plant and leaf diseases have a significant impact on agricultural production, leading to a decrease in crop yield and quality. Effective crop management demands early and precise detection ...

Abstract: Crop prediction plays a pivotal role in agricultural planning and management. This study proposes a comprehensive approach utilizing machine learning models to predict crop types based on ...

As prediction markets have exploded onto the scene in recent years, allowing bets to be placed on a wide range of event-driven outcomes, many have asked whether it is optimal to have markets in ...