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Alba Ordonez's Projects

face-property-detection icon face-property-detection

In this challenge, the goal was to develop a binary classification algorithm to detect whether an image contained some property or not. Given that convolution neural networks are the state of the art methods used for this kind of task, I built a classification algorithm based on these architectures.

gdelt2018_analysis icon gdelt2018_analysis

The purpose of the project was to design a resilient Cassandra architecture on AWS for analyzing the evolution of relations between countries. The information was extracted from the 2018 GDELT project database.

geolocation_sigfox icon geolocation_sigfox

The purpose of this work consisted of finding the exact position of a set of messages sent by connected devices that could be or not in motion. This information had to be retrieved from data received by Sigfox stations which recorded the messages.

innvestigate icon innvestigate

A toolbox to iNNvestigate neural networks' predictions!

kaggle_forest_cover_type icon kaggle_forest_cover_type

In this competition, I was asked to predict the forest cover type from cartographic variables. The studied data was in raw form (not scaled) and contained binary columns of data for qualitative independent variables such as wilderness areas and soil types.

seclists icon seclists

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

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