Topic Modeling with BERTopic

If you would like to read more about Topic Modeling, please have a look at our article ‘An in-depth Introduction to Topic Modeling using LDA and BERTopic‘. Moreover, make sure to check out the notebook generated based on a traditional approach, LDA. If you are in general interested in NLP tasks then you are in […]

What do I do with my emotions?
Introduction to Emotion Detection

If you are interested in the evolution of technology when it comes to text mining tools and Natural Language Processing (NLP) tasks, then you are in the right place! This article presents an interesting NLP task: Emotion Detection. We are introducing what emotion detection is as well as the beneficial function that many fields can […]

What do I do with my emotions?
emotion detection with Python

If you would like to read more about Emotion Detection, please have a look at our article ‘What do I do with my emotions?‘. If you are in general interested in NLP tasks then you are in the right place! Take a look at our series Natural Language Processing

Nachos Hackathon 2022

We don’t know if you’ve heard already, but there is yet another crisis on our horizon: The Netherlands is in danger of becoming a nacho-state. The use of fried nacho chips in nightlife has become the rule rather than the exception. There is not a single South American cargo ship entering the harbour of Rotterdam […]

The statistics underlying the popmon hood

In our previous article we explain what model drift, concept drift and data drift is. Which we then put into practice in a notebook where we show you what you can do to make sure your productionized models keep working as expected with the help of popmon. Now it is time to complete the information, […]

Monitoring model drift with Python
Model Drift, Automatic Retraining and How Not to Ruin your Models

Predictive models used in business processes are prone to loose their business value over time. This can be due to model drift or a result of unforseen side-effects of automatically retraining the model. In this blog we explain what model drift is and why (automatic) retraining can be a good way to deal with it. […]

No data scientist is the same!

series: NO DATA SCIENTIST IS THE SAME! – part 9 All Python notebooks from this series are available on our Gitlab page.

Visualise the business value of predictive models

series: NO DATA SCIENTIST IS THE SAME! – part 8 All Python notebooks from this series are available on our Gitlab page.