Name: Philippe Robert
Type: User
Company: University of Padua
Bio: 👋 Hello, Bonjour, Buongiorno !
Enthusiastic about the scalability property of
Machine & Deep Learning
and the Causality concept on our daily life.
Location: Padova, Italy
Blog: www.linkedin.com/in/philippe-robert
Philippe Robert's Projects
Study of gradient descent and block coordinate gradient descent to approach a semi-supervised classification problem
Using 13 datasets from 13 different phycological tests to identify fake answers. Analyse if predictors are unreliable and model dependent.
Implementation of concepts learned during the course "Business_economic_&_financial_data" to a renewable energy dataset
The aim of this work is to analyze a dataset of purchases in an anonymous online store. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear regression, a more complete study of multiple linear regression and finally a binary classification problem.
Study of first order Frank-Wolfe algorithms to solve constrained non-convex problems in the context of white-box adversarial attacks.
yashi game complete implementation