PhilSchoeb
24 years old student in Machine Learning at Mila and University of Montreal. I am interested in data science, probabilistic modeling and deep learning.
Pinned Repositories
earthquake
NHL_milestone1-2
NHL Goal Prediction Engine Milestones 1 and 2 - Data Science project (IFT6758)
4_coloriage
4 coloriage d'un graphe spécifié à l'aide du Gibbs sampling avec balayage systématique - Modèles stochastiques (IFT3655)
collectors_problem
Implementation for a solution to a specified collector's problem - Stochastic Models (IFT3655)
NHL_blog_milestone1-2
Blog for NHL Goal Prediction Engine Milestones 1 and 2 - Data Science project (IFT6758)
NHL_milestone3
NHL Goal Prediction Engine Milestone 3 - Data Science project (IFT6758)
PyGM
Implementation of PyGM, a graph based PPL for approximate inference - Probabilistic Graphical Models (IFT6269)
sudoku_solver
Sudoku Solver using Norvig's implementation and aima3 - Artificial Intelligence (IFT3335)
tweets_classif
Classification of tweets (offensive or not offensive) - Artificial Intelligence course (IFT3335)
weather_classification
Machine Learning (IFT3395) Kaggle competition 1
PhilSchoeb's Repositories
PhilSchoeb/4_coloriage
4 coloriage d'un graphe spécifié à l'aide du Gibbs sampling avec balayage systématique - Modèles stochastiques (IFT3655)
PhilSchoeb/collectors_problem
Implementation for a solution to a specified collector's problem - Stochastic Models (IFT3655)
PhilSchoeb/NHL_blog_milestone1-2
Blog for NHL Goal Prediction Engine Milestones 1 and 2 - Data Science project (IFT6758)
PhilSchoeb/NHL_milestone3
NHL Goal Prediction Engine Milestone 3 - Data Science project (IFT6758)
PhilSchoeb/PyGM
Implementation of PyGM, a graph based PPL for approximate inference - Probabilistic Graphical Models (IFT6269)
PhilSchoeb/sudoku_solver
Sudoku Solver using Norvig's implementation and aima3 - Artificial Intelligence (IFT3335)
PhilSchoeb/tweets_classif
Classification of tweets (offensive or not offensive) - Artificial Intelligence course (IFT3335)
PhilSchoeb/weather_classification
Machine Learning (IFT3395) Kaggle competition 1
PhilSchoeb/winequality_classif
Classification of wine quality using a hard_parzen and a soft_parzen with gaussian kernel models - Machine Learning course (IFT3395)
PhilSchoeb/limited_dictionary
Implémentation d'un dictionnaire en Java - Programmation 2 (IFT1025)
PhilSchoeb/limited_search_engine
Implémentation d'un engin de recherche - Programmation 2 (IFT1025)
PhilSchoeb/controle_trafic
Résolution par retour-en-arrière d'un problème de contrôle de trafic illicite - Introduction à l'algorithmique (IFT2125)
PhilSchoeb/IFT6135-2025
Representation Learning assignments
PhilSchoeb/marketing_reseaux_sociaux
Résolution par algorithme glouton d'un problème de marketing de réseaux sociaux - Introduction à l'algorithmique (IFT2125)
PhilSchoeb/poker_shuffle
Implémentation sur codeBoot d'un jeu de Poker Shuffle - Programmation 1 (IFT1015)
PhilSchoeb/slackline_placement
Résolution par algorithme glouton d'un problème de placement de slacklines - Introduction à l'algorithmique (IFT2125)