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ekeany's Projects

boruta-shap icon boruta-shap

A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.

dawid-skene icon dawid-skene

The assignment requires you to build models for classifying the polarity (i.e. positive or negative sentiment) of sentences in movie reviews. The assignment is based on movie reviews collected from the Rotten Tomatoes website1 and polarity labels provided by crowd workers in Amazon Mechanical Turk. The dataset provided for this assignment contains three CSV files, as described below:

fault-detection-esembly-line icon fault-detection-esembly-line

In this practical exercise, we are dealing with a bottling production line in a facility bottling CocaCola for the Irish domestic market. We have a set of images, taken under near constant factory lighting conditions, of the bottles as they leave the bottling line. The bottling company require a vision system to automatically identify a number of specific faults that may occur during the filling, labelling and capping stages of production so that these bottles can be intercepted prior to packaging. Your task is to design and prototype a vision system to detect the set of fault conditions that may occur together with identifying the type of fault that has occurred. You will develop this prototype system using the software and the techniques discussed in the course.

ireland_building_heights icon ireland_building_heights

A project to create an open source digital elevation map of Ireland. By training a regression model on open source remote sensing data from both Sentinel-1 and Sentinel-2 constelations.

traffic-data icon traffic-data

Visualization of traffic data from the Galway City Council for the N59 just before and at the junction outside the Insight building in the IDA Business park in Dangan

xgboost-from-scratch icon xgboost-from-scratch

This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article which I wrote explaining my journey to understanding how XGBoost works under the hood

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