Joseph Arcila's Projects
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
The tools you use, and the way you approach learning can have a significant correlation with how much you get paid for your work as a data scientist.
A data pipeline to prepare message data from major natural disasters around the world with machine learning pipeline to categorize emergency messages based on the needs communicated by the sender.
My first Rpeository
This is my first project analysing data, in here I'm looking for relationships between various geopolitical data to find interesting conclusions
The following Jupyter notebook contains a quick analysis made to analyze the 60 surveys, it is not meant to be presented to others since I was the founder trying to extract insights from the surveys I conducted
This project is a submission of the 3rd project for the Intro to Programming nano-degree at Udacity
Data manipulation and Machine Learning with Spark to engineer relevant features for predicting which users will cancel their music streaming service.
In this project, I built various recommendation engines, based on user behavior and social network for the IBM Watson Studio's data platform, to surface content most likely to be relevant to a user.
Helping people get and deliver fast, personalized help