See How we Use atoti to simulate and Visualize ML-Based Collateral Shortfall Predictions. This article is derived from a previous one available on our website around Collateral optimization. For context, we're copying here the first part of this article by Hui Fang Yeo. The scenario starts diverging at the 'What-If'...
“Open Source is a win-win for everyone” - Philip Vollet
‘One of the benefits of growing an open-source product is the community around it. They contribute to the code and grow their skills together.’ I have now interviewed quite a few inspiring members of the data science community, and I have noticed that they all have one thing in common:...
Mabu Manaileng: Setting trends with AI and ML in Africa with Datawizzards
Envisioning a level playing field for all Many African’s leave the country to obtain a more ‘global’ platform to try their hand at becoming among the best in their fields. Many couldn’t find a viable way to apply their AI and machine learning expertise in Africa. Instead of waiting hopefully for...
When to perform a Feature Scaling?
In this article, we shall discuss one of the ubiquitous steps in the machine learning pipeline — Feature Scaling. This article's origin lies in one of the coffee discussions in my office on what all models actually are affected by feature scaling and then what is the best way to...
Why put your ML results into a dashboard
Naïve question from a novice While trying to perform a time-series analysis, there are many things to check. For instance, the above GIF shows me trying to scroll through the Matplotlib charts for each time-series for stationarity checks. In the above use case, I’m evaluating 12 feature time-series for 12...