Grégoire LAURENT
Data analyst interested in Machine Learning projects
Repository of projects I worked on either during my free time or EPFL curriculum
View My LinkedIn Profile
Portfolio
EPFL curriculum
- Delay prediction
- Image classifiers
- House price prediction
Delay prediction - Swiss public transport network - Capstone project!
Image classifiers - Swissroads dataset
House prices prediction - Boston Housing dataset
Personal projects
- Credit Card Fraud detection
- Airbnb 1st booking destination prediction
- Clustering in People Analytics
- Expedia Hotel Ranking
- Fantasy Premier League best team selection
- MBA on Supermarket data
Credit Card Fraud detection - Kaggle
Airbnb 1st booking prediction - Kaggle
People Analytics end-of-year clustering
Learning to Rank - Expedia Hotel Ranking - Kaggle
Linear Programming and predictions - Fantasy Premier League
Objectives
- Identify key statistics and metrics behind FPL - validating or not assumptions, myths and beliefs
- Compare different models (LinearRegression, KNN, RandomForest) performance while attempting to predict weekly points per players based on key features identified
- Pick best team (maximizing number of points) per game weeks using LinearProgramming (PulP library)
Market Basket Analysis on Cumulus data
- Analyze shopping behaviors and identify clusters of product in basket
- Measure impact and scale of inflation on products
More details/Full notebook HERE