GaelVaroquaux/interpreting_ml_tuto

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Created over 6 years ago
Updated about 6 years ago

GaelVaroquaux/interpreting_ml_tuto

GaelVaroquaux

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Tutorial on interpreting and understanding machine learning models

sklearn_pandas_tutorial

EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn

sklearn_europython_2014

Scikit-learn Tutorial at EuroPython 2014

Jupyter Notebook

stats_in_python_tutorial

Material for the statistics in Python tutorial

canica

Canonical ICA for fMRI

sklearn_ensae_course

Materials for a course on scikit-learn at ENSAE

Jupyter Notebook

ml_med_imaging_failures

Failures in machine learning for medical imaging

scipy-tutorials

SciPy tutorials. This is outdated, check out scipy-lecture-notes

my_topics

Topics of conferences

advanced_sklearn_tuto

A "from zero to hero" scikit-learn tutorial, targeted at technical folks but not machine learning savy

cross_val_experiments

cross_validation_failure

Code for the paper on cross-validation failure

nipeep

Lighweight and imperative usage of nipype

gaelvaroquaux.github.io

paradoxical_commandments

A PDF (LaTeX generated) of the paradoxical commandments

tmp_complete_linkage

Ongoing work for fancy complete linkage

smithy

Tool for running pipelines.

test-split-prediction-models

Evidence for prediction requires separating train and test data

Jupyter Notebook

website

Personal website

retreat_2021_election_data

AIMS_sklearn

A short course on scikit-learn at AIMS Rwanda

Jupyter Notebook