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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
Data Science Portfolio
Guide on creating an API for serving your ML model
Creating class-based TF-IDF matrices
Analysis for Customer Segmentation
Creating Artificial Life with Reinforcement Learning
Tips for Advanced Feature Engineering
A guide on creating and deploying your Streamlit application to Heroku
Code and experiments for *BERTopic: Neural topic modeling with a class-based TF-IDF procedure*
Heroku app to explore boardgame data
Guide for applying Unit Testing in data-driven projects
Python procedural sprite generator
Vectors of Locally Aggregated Concepts
My analyses for interpretable Machine Learning
Overview of validation techniques
Tool for extracting and analyzing IMDB reviews
Train SOTA RL-algorithms using Stable Baselines and Gym
An awesome README template to jumpstart your projects!
Dashboard for the cars dataset
Detection of Potholes in Images
An open-source NLP research library, built on PyTorch.
Analysis of board game matches
Statistically Generated Disney Tournament Bracket
Analysis of my FitBit data
💫 Industrial-strength Natural Language Processing (NLP) in Python