pcerda

course_python_introduction

Python course setup together with Joris Vandenbossche

data_extraction

Scripts for downloading data on csv format

datasets

Download and denormalization scripts for dirtycat datasets.

ecml-pkdd-2018

Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables

gamma_poisson_factorization

Implementation of an online Gamma Poisson matrix factorization

kdd2018

Generalizing categorical encodings: an n-gram kernel for morphological variants

scikit-learn

scikit-learn: machine learning in Python

string_categorical_encoders

Scripts for paper "Encoding high-cardinality string categorical variables"

pcerda/string_categorical_encoders

Scripts for paper "Encoding high-cardinality string categorical variables"

pcerda/ecml-pkdd-2018

Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables

pcerda/kdd2018

Generalizing categorical encodings: an n-gram kernel for morphological variants

pcerda/gamma_poisson_factorization

Implementation of an online Gamma Poisson matrix factorization

pcerda/scikit-learn

scikit-learn: machine learning in Python

pcerda/data_extraction

Scripts for downloading data on csv format

pcerda/datasets

Download and denormalization scripts for dirtycat datasets.

pcerda/course_python_introduction

Python course setup together with Joris Vandenbossche

pcerda/data

Data and code behind the articles and graphics at FiveThirtyEight

pcerda/datacleaning-benchmark

pcerda/dirty_cat

Encoding methods for dirty categorical variables

pcerda/ds3_kernel_testing

Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"

pcerda/faiss

A library for efficient similarity search and clustering of dense vectors.

pcerda/scikit-learn-extra

scikit-learn contrib estimators