AI’s shaking up software development—making coding faster, collaboration smoother and Agile teams more powerful than ever.

The Python statistics module is a built-in module for performing simple statistical calculations. Since it's part of the standard Python library, it's available in every Python installation. To access ...

The boxplots can be interpreted to mean that the charging limits have a slight effect on the maximum battery capacity. The ...

Understanding temporal dynamics in tissue biology is key to linking transcriptomic snapshots to physiological function.

Abstract: This paper presents a comprehensive exploration of earthquake magnitude and depth prediction using an advanced machine learning model and multiple linear regression model. The study ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data. Having data is only half the battle. How do you know your data actually ...

A collection of core Machine Learning algorithms implemented from scratch using only NumPy. This project focuses on understanding the inner workings of ML models without relying on libraries like ...

Abstract: This work proposes a single-point linear-regression-assisted trimming method for a MOSFET-based voltage reference to reduce operation verification complexity. By obtaining the correlation ...