Abstract: Education globally shows significant and vast changes. Pandemic has forced education fields to admit that distance learning becomes an important part in higher education. This paper aims to ...

The USGA and R&A made a perhaps surprising joint announcement on Wednesday that ball rollback is no longer coming for professional golfers. Instead, it's being implemented for every golfer. Beginning ...

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...

This project is an implementation of Principal Component Analysis (PCA) in Python. PCA is a technique for dimensionality reduction and data visualization that aims to find the most important ...

Python is an excellent tool to automate repetitive tasks as well as gain additional insights into data. In this article, you’ll learn how to build a tool to check which keywords are close to ranking ...

Python is incredibly popular because it's easy to learn, versatile, and has thousands of useful libraries for data science. But one thing it is not is fast. That's about to change in Python 3.11, ...

Distance learning has so far relied on a meager 25 % of the population to thrive. Reaching 100 % of the population means dealing with the intellectual and methodological access difficulty of distance ...

Abstract: K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be ...

Python implementation of binary similarity (see [1]) and distance measures (see [2]). The bitsets (immutable ordered set data type) and numpy.ndarray are suported as feature vectors. [1] Brusco, M., ...