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A notebook exploring the paper "InterpretML: A Unified Framework for Machine Learning Interpretability" (H. Nori, S. Jenkins, P. Koch, and R. Caruana 2019).
Jupyter Notebook 3
An interactive notebook quickly exploring the paper Evolving Controllably Difficult Datasets for Clustering and the related package HAWKS. Examination part of the Stochastic Optimization class.
Jupyter Notebook 1
Forked from jfabrice/ml-class-anomaly-detection
Course materials for Algorithms in Machine Learning: Anomaly Detection at ISAE-SUPAERO.
Jupyter Notebook
All exercises that were done during class "Modele Lineaire" of Algorithm in Machine Learning module
Jupyter Notebook
Notebook on Travelling salesman problem using Held Karp's algorithm
Jupyter Notebook
Resolution of the puzzles from https://adventofcode.com/2020
Python