Baptiste's repositories
scikit-learn
scikit-learn: machine learning in Python
SemEval2018-Task3
This is the Github repository for SemEval-2018 Task 3
data-science-challenge
Busbud data science challenge baseline
high_rollers
Predicting high income levels based on US census data
country_music
predicting whether a song is labelled as country music using its lyrics
name_uniqueness
Exploration of human name uniqueness, and dog names
EVALution
Dataset containing Semantic Relations and Metadata, for Training and Evaluating Distributional Semantic Models in English and Mandarin Chinese
india_suicide_data
Exploring the trends in suicides in India
labelling_gui
Graphical User Interface to quickly label a folder of images or text files
kaggle_titanic
Using some creative feature engineering to predict Titanic passenger survival probability.
206A4
public_html1
stop_frisk_exp
An exploration of New York stop and frisk data
Pandas_initial_profiler
a set of tools to get a quick snapshot of your data in the initial stages of data pre-processing
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
DeepLearningPython35
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
UnsupervisedHypernymy
Data and code for the experiments in: "Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection". Vered Shwartz, Enrico Santus and Dominik Schlechtweg. EACL 2017.