Despite the race towards Artificial Intelligence Research, Africa provides a limited scholarly output on Machine Learning from quantitative and qualitative perspectives. In this research presentation, I introduce several hints and methods that can be applied by local African scientists to simplify, enhance and validate their Machine Learning applications at a limited cost. The approaches that will be discussed mainly rely on open resources, simple algorithms and semantic web applications to achieve their goals.