Project 5 : House Price Prediction

In this project, my goal was to build a predictive model to answer the House Prices Kaggle Competition, in which we are provided with diverse data concerning houses such as quality, number of bathrooms, areas, in order to predict the final sale price. The large majority of the work was spent on exploratory data analysis and feature engineering, with some data cleaning to do in both the training and test set.

August 28, 2020

Project 4 : Next Word Predictor

In this project, my goal was to familiarize myself with natural language processing and use it to build a “next word” predictive model such as the ones we have on our smartphones keyboards. For that, I used a database provided by SwiftKey. I divided this project into three parts : the App (hosted on ShinyApps), the project pitch (hosted on RPubs), and the GitHub repository that contains the App’s code.

August 16, 2020

Project 3 : Weightlifting performance machine learning

A machine learning project in which I used fitbit-like sensor data from gyroscopes and accelerometers to predict the performance of a weightlifting exercise. This project goes through the following key steps : Raw Data gathering and cleaning Model building - RandomForest Cross validation and Testing Link to the GitHub repository