And how you can supercharge them.
Most of my technical and psychological articles can be found on Medium in the TowardsDataScience publication. Below, you can find those as well as the occasional personal article that does not fit in with Medium.
Pros and Cons of working as a Data Scientist
…and how to fix them!
The advantages and pitfalls of common distance measures.
An in-depth guide to topic modeling with BERTopic.
Introducing PolyFuzz, a framework for fuzzy string matching.
A minimal method for extracting keywords and keyphrases.
Extracting informative words per class.
Leveraging BERT and TF-IDF to create easily interpretable topics.
The Intersection of Psychology and Data Science
What to look out for when deploying your ML model
Accelerate your Machine Learning model by leveraging Tensors
Using Pytest to improve the stability of your pipelines
And how you can do both.
Detecting common (cognitive) biases in your data
Train SOTA RL-algorithms using Stable Baselines and Gym
Create a StackingClassifier in a few lines of code with Scikit-Learn V0.22.
Deploying your Streamlit application to Heroku to showcase your Data Solution
Going beyond k-Fold Cross-Validation
Creating a production-ready API using FastAPI + Uvicorn
Improving an important step in ML.
In-depth exploration of cluster analysis.
Using PDP, LIME, and SHAP to create interpretable decisions that create value for your stakeholders
Using NLP to analyze WhatsApp messages between my wife and I