The challenge of identifying a missing value in a table often goes beyond simple data entry errors; it delves into the realm of data analysis, pattern recognition, and even predictive modeling.

Feature scaling is a crucial preprocessing step in machine learning, ensuring that different features contribute equally to the model's performance. By transforming data to a similar scale, we prevent ...

The study abstract outlines the utilization of advanced machine learning to identify and categorize casting defects such as Blowholes, Pinholes, and Swell with high precision, recall, and F1-scores.

Abstract: The study abstract outlines the utilization of advanced machine learning to identify and categorize casting defects such as Blowholes, Pinholes, and Swell with high precision, recall, and F1 ...

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...

Feature description Description: I would like to suggest adding example programs that use popular Python libraries to demonstrate practical and real-world applications of Python. These examples would ...