Maria Contreras - Help your plants to stay healthier with Machine Learning at home| JupyterCon 2020

Brief Summary Many studies have also proven that growing indoor house plants, as long as being a trend, improves health, despite the difficulty to keep them alive. In this talk, you will learn how to set up a basic plant monitoring system and implement a real-world machine learning project with plants at home. Outline Many studies have also proven that growing indoor house plants, as long as being a trend, improves health, despite the difficulty to keep them alive. The fact is that when we grow plants inside our homes, they depend 100% on us and sometimes it is difficult to know what they need. In this talk, we will explore how to improve your plants' lives by setting up a basic plant monitoring system. This might sound complicated, but it is indeed very simple and useful: thanks to using python and jupyter notebooks. Moreover, you are going to create a machine learning pipeline from going through the steps of data labelling, selecting the framework, the model, and you will learn how to deal with the challenges that one can have in these processes. Finally, you will see how this project is an excellent way to learn how to deal with data science challenges, at the same time that you will learn plant biology and how to implement a real-world machine learning project, and at the same time help your plant to be happier. Outline Introduction Main motivation to create this project Introduction to the setting up system Videos How create your own dataset (methodology and criteria) Experiments for data collection Data labelling How to select the framework How to establish the model (methodology and criteria) Data analysis and data visualization Impact of this implementation at home Next steps (1) This talk is beginner friendly. The main idea of this talk is to show with a practical example how we can implement machine learning at home, at the same time, how we can store and work with our own data for analysis. (2) The background knowledge should be basic python