RLC circuit modeling and simulation using Python, explained step by step. Explore resonance, damping, and frequency response with practical coding and clear physics insights. #RLCCircuit ...

Abstract: This study examines "RentLens," a cutting-edge predictive modeling method for early rental identification. Based on city-specific factors such as room count, property size, floor plans, ...

Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...

Traditional portfolio management relies on static allocations and reactive rebalancing. AlphaEdge flips this paradigm by implementing a fully automated, AI-driven investment strategy that: ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...