chagaz

sdd_2020

Cours « science des données » à Mines ParisTech (2019-2020)

ma2823_2016

Foundations of Machine Learning course at CentraleSupelec (Fall 2016)

sdd_2021

Cours de science des données en 1A à Mines ParisTech, année 2020-2021.

ml-notebooks

Some machine learning notebooks

sdd_2024

Cours de science des données en 1A à Mines Paris - PSL (2024)

sfan

Selecting features as (network) nodes

lsml22

Notebooks for the 2021 course on Large Scale Machine Learning at Mines Paris

ma2823_2017

Introduction to Machine Learning at CentraleSupelec (Fall 2017)

lsml19

Practical sessions for the 2019 Large Scale Machine Learning course at MINES ParisTech

lsml2018

Practical sessions of the LSML 2018 course

lsml21

Notebooks for the 2021 course on Large Scale Machine Learning at Mines ParisTech

cimpa_2021_high_dim

Notebooks for my course on feature selection in high dimension at the CIMPA Lomé 2021 school

cp-ia-intro-ml-2022

Notebooks pour le module "Fondamentaux du Machine Learning" de la formation Chef de Projet IA (2022)

ds3-2018-genetics

Notebook for the session on machine learning for genetic data at the 2018 Data Science Summer School.

lsml20

Practical sessions for the 2020 Large Scale Machine Learning course at MINES ParisTech

practical-microbiomess-2017

Practical session at the 2017 Microbiome Summer School

hpc-ai-ml-2019

Intro to ML labs for the HPC-AI MSc 2019-2020

scm-gwas

Using set covering machines for genome-wide association studies

celer

Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.

cmt-to-pmlr

Process CMT files into PMLR proceedings

exam2016

grant-open-science

Mozilla Open Science mini-grant

kover

Learn interpretable computational phenotyping models from k-merized genomic data

lsml24

Labs for the Large Scale Machine Learning & Data Mining PSL Week 2024 at Mines Paris ­- PSL

ml-in-genomics-2022

Hands on session for the day on GWAS in the context of the PSL Intensive Week on ML and Genomics 2022

ML_quizz

Small tests for data analysis skills

primer

3 x 3 hours introduction to Python, Jupyter, numpy, pandas and dataviz

SamSpecCoEN

Build sample-specific co-expression networks.

scikit-learn

scikit-learn: machine learning in Python

v84

AISTATS 2018 Proceedings