IMPORTANT NOTE (09/21/2017): This GitHub repository contains the code examples of the 1st Edition of Python Machine Learning book. If you are looking for the code examples of the 2nd Edition, please ...

After conducting a thorough comparison between the Prime Counting Function π(x) and various classical approximations up to 10^23, the following observations emerge ...

This study developed a novel Water Quality Index (WQI) using Kernel Principal Component Analysis (PCA) to assess groundwater quality (GWQ) in the coastal aquifers of Al-Qatif, Saudi Arabia. A total of ...

In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...

Chemistry Teaching Laboratory, Department of Chemistry, University of Oxford, Oxford, United Kingdom of Great Britain and Northern Ireland, OX1 3PS ...

In the dynamic scene of Python development, understanding the qualification between frameworks and libraries is pivotal for extended success. Python frameworks give structure and support for building ...

Data science is both inspiring and challenging at the same time. It is quite strenuous to perform data preprocessing and cleaning and generate insights from the data by plotting various charts as well ...

If you're new to the world of machine learning and optimization, the term "Gradient Descent" might sound intimidating. However, don't let the name scare you away. Gradient Descent is a fundamental ...

The process of automated prediction of disease is key for better treatment and lifesaving. As such, many machine learning (ML) based methods have been developed for various diseases. The growing ...

Principal component analysis is a versatile statistical method for reducing a cases-by-variables data table to its essential features, called principal components. Principal components are a few ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...