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: ...

Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used for ...

Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a ...

This video will discuss 5 beginner python projects! Hopefully it can give you some inspiration and ideas so that you can get started working on a new python project and apply your knowledge of ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

Machine Learning project built to practice and improve coding and deployment skills using python, scikit-learn, jupyter-notebooks, and some visualization packages.

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 ...

Keywords: land classifications, remote sensing, Python, machine learning, deep learning, Sukkur Pakistan Citation: Nigar A, Li Y, Jat Baloch MY, Alrefaei AF and Almutairi MH (2024) Comparison of ...

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.

How to Make Machine Learning Work for Your Small Business Machine learning (ML) drives insights and optimizes decisions across domains. The adoption of ML tools, however, remains bottlenecked by the ...