Abstract: Accurate short-term power forecasting is crucial for the successful commercialization of solar energy, helping to prevent financial losses in energy markets. Federated learning (FL) offers a ...
A comprehensive machine learning project implementing linear and polynomial regression models to predict medical insurance costs based on patient demographic and health-related features. This project ...
1. Load the dataset into a DataFrame and explore its contents to understand the data structure. 2.Separate the dataset into independent (X) and dependent (Y) variables, and split them into training ...
This study aims to analyze the main factors that affect the success of millennial farmers in increasing quantity in Indonesia. This study uses a quantitative approach with the K-Nearest Neighbors ...
Abstract: In the manufacturing industry, effective maintenance is required to ensure that the robots function as expected. Maintenance is generally carried out on a scheduled basis, but it is still ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...