Rising Odegua

This talk was an introductory guide to Machine learning and Data Science for web developers. Web developers make up a large percentage of developers worldwide, and as such, it is very important for them to understand ML, especially when it comes to using and embedding them in their applications.

I spoke and gave practical tips/guides to developers on how to make their application smarter with AI and ML

The SCA Community Data Science community just concluded a program called Project Sprint. On project Sprint, each team was required to work on a data science project that was domain-specific. As a guest mentor, I helped judge and give feedback on different projects presented by the teams.

I co-authored a book on building data applications with Danfo.js, an open-source JavaScript library-I co-created-for processing structured data.

In this talk, I introduced participants to ML in the browser using danfo.js (a pandas-like library in JavaScript) and Tensorflow.js.

In this event, I taught participants how to become better technical writers by offering tips and guidelines. I also walked them through a practical session where I showed them how to approach any technical wrtiing task.

I co-created Dnotebook. A Jupyter-like tool that helps JavaScript developers share and create pages with live code and text.

I co-created a JavaScript library for doing efficient and easy data manipulation in both browser side and server side. This library is a first of many tools we are creating that will bring Machine Learning tools to JavaScript developers.