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Hi πŸ‘‹, I'm Nico

a data scientist with a strong interest in natural language processing, machine learning interpretability and fairness.

nkthiebaut

Connect with me:

nicothiebaut nthiebaut wajsbrot

Languages and Tools:

aws bash circleci docker flask mongodb pandas postgresql postman python pytorch redis scikit_learn seaborn tensorflow travisci

nkthiebaut

Β nkthiebaut

nkthiebaut

Nicolas's Projects

2bornot2b icon 2bornot2b

Codes for the 'To be or what to be' Hacker Rank challenge. The goal is to predict the forms of the 'be' verb in a text.

algorithms icon algorithms

Solutions to the exercises of the Algorithms Coursera specialization by Stanford (https://www.coursera.org/specializations/algorithms)

bees icon bees

Driven data bees classifier competition codes.

datascribe icon datascribe

General csv files datasets exploration scripts and python utils.

docker-ubuntu-nlp icon docker-ubuntu-nlp

Dockerfile for the creation of an Ubuntu image with Python and the main natural language processing librairies.

dumbdumb icon dumbdumb

Dummy FastAPI API deployed with fly.io for testing

focus icon focus

Machine Learning model API providing predictions AND explanations

food4thought icon food4thought

Find strength and weaknesses of restaurants with the Yelp dataset.

gensim-data icon gensim-data

Data repository for pretrained NLP models and NLP corpora.

nolearn icon nolearn

Abstractions around neural net libraries, most notably Lasagne.

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

sphinx icon sphinx

Main repository for the Sphinx documentation builder

template icon template

Python package template with setup,readme and .gitignore files, as well as defined tree structure

zeugma icon zeugma

πŸ“Natural language processing (NLP) utils: word embeddings (Word2Vec, GloVe, FastText, ...) and preprocessing transformers, compatible with scikit-learn Pipelines. πŸ› 

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