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Gustavo Jorge Martins de Aguiar's Projects

disaster_response_app icon disaster_response_app

Extract, Transform, and Load (ETL) process, Natural Language Processing (NLP), and Machine Learning Pipeline are used to build the classifier model for disaster messages

dsnd_term2 icon dsnd_term2

Contains files related to content and project of DSND Term 2

ml_sagemaker_studies icon ml_sagemaker_studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

sparkify_project_datascientist_final_capstone icon sparkify_project_datascientist_final_capstone

The purpose of this project is to use log files from users to anticipate whether or not they would cancel their Sparkify account. The Sparkify service is a fictitious music service established by udacity to spoof the log files of actual music services like Spotify. A user can visit a variety of pages and engage in a variety of interactions, such as clicking Next Song, watching an advertisement, upgrading, or downgrading. The log files also contain user-specific information, such as the user's location and the user agent they are using to access the service.

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