MaartenGr

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Minimal keyword extraction with BERT

Fuzzy string matching, grouping, and evaluation.

Concept Modeling: Topic Modeling on Images and Text

Social Analysis based on Whatsapp data

Creating class-based TF-IDF matrices

Creating Artificial Life with Reinforcement Learning

Code and experiments for *BERTopic: Neural topic modeling with a class-based TF-IDF procedure*

Data Science Portfolio

Analysis for Customer Segmentation

Guide on creating an API for serving your ML model

Python procedural sprite generator

Tips for Advanced Feature Engineering

A guide on creating and deploying your Streamlit application to Heroku