■ 09.2016 - 11.2016 ■ Otto Product Classification ○ Kaggle Challenge
○ Project: 3 months in Paris-Saclay University (PSU)
○ Supervisor: Michele SEBAG {michele.sebag@lri.fr}
○ Technical Keywords: SVM, Decision Tree, Naive Bayes, Gradient Boosting, Python, Scikit-Learn, Anaconda
○ Description: This project is based on a challenge of Kaggle. Some learning methods are used in classifying products into the correct category of Otto Group.
○ Project: 3 months in Paris-Saclay University (PSU)
○ Supervisor: Michele SEBAG {michele.sebag@lri.fr}
○ Technical Keywords: SVM, Decision Tree, Naive Bayes, Gradient Boosting, Python, Scikit-Learn, Anaconda
○ Description: This project is based on a challenge of Kaggle. Some learning methods are used in classifying products into the correct category of Otto Group.
○ Github