University Projects
Data Science
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Supervised_Classification : Machine Learning Project of Predicting the contraception choice of Indonesian Women.
Language : Python
Date : November 2015
Methodology : Comparison of Machine Learning Supervised_Classification algorithms. -
ParallelizedPCA : Parallel GPU Implementation of Iterative PCA Algorithm
Language: pyCUDA Date: january 2017
Team: Gauthier Schweitzer
Methodology: Gram-Schmidt orthogonalization algorithm proposed by Andrecut (2008) -
TopicModelingLDA : Discussion and Implementation of Topic modeling in text analysis by Latent Dirichlet Allocation
Language: Python
Date: January 2017
Team: Chloé Baraille, Othmane Sebbouh
Methodology: collapsed variational bayesian inference algorithm for Latent Dirichlet Allocation (Teh, Newman, Welling, 2006) -
NetworkLasso : Predicting prices in the Housing Market of Sacramento
Language : Python
Date : June 2016
Team : Victor Cluzel, Noémie Haouzi
Methodology : Network Lasso Optimization
Econometrics
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SemiParametricTilting: Resolving Semi Parametric Data Combination Issues.
Software: Python
Date: January 2017
Team: Leïla Fardeau, Loïc Macherel
Methodology: Auxiliary-to-Study Tilting (Graham et al. 2016) -
Selection_Bias&Panel_Analysis : Discussion on the evaluation of a causal relationship between Democracy and Income.
Software : STATA
Date : March 2016
Team : Noémie Haouzi
Methodology : Cross-Country Panel Analysis, Selection Model, Instrument Variables. -
SyntheticControlMethod: Evaluation of the impact of a cultural policy (*Lille European Capital of Culture 2004) on regional economic indicator (GDP and Unemployment rate).
Software : R
Date : January-March 2016
Team : Louise Aimène and Marc Ginestet
Methodology : Synthetic Control Method of Abadie, Diamond and Hainmueller.