Simiyu, G. W. and Mwatelah, J. (2025) Mapping Water Quality Using Remote Sensing Technology: A Case Study of Lake Victoria. Journal of Geoscience and Environment Protection, 13, 225-252. doi: ...

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...

Risk management is relevant for every project that which seeks to avoid and suppress unanticipated costs, basically calling for pre-emptive action. The current work proposes a new approach for ...

Python has emerged as one of the most popular programming languages for machine learning (ML) projects, thanks to its simplicity, readability, and the robust ecosystem of libraries and frameworks.

Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate change, pandemics, and child abuse.

This document focuses on building machine learning systems in Python, using tools such as Google Colab, Anaconda, and Scikit-Learn. Its goal is for readers to gain fundamental knowledge on developing ...

While Python has long been recognized as a go-to programming language for data science and is often used to author machine learning models, the new project focuses on clean, idiomatic Python syntax ...

Check out our top 10 open-source projects for beginners in machine learning. These projects cover various topics and utilize popular libraries like Scikit-learn, H2O, and Caffe.

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Machine learning (ML) has gained much attention and has been incorporated into our daily lives. While there are numerous publicly available ML projects on open source platforms such as GitHub, there ...