I’ve been working with Project Jupyter since December of last year and it has been a wonderful experience. The last couple of days I struggled with the SQLAlchemy library that JupyterHub works on its internals. Since I studied this library and had to scratch some Stack Overflow questions to find some answers, I created this post to help digesting some of my doubts and findings.
This is the second part of my study on predicting the type of victims an accident can have based on the data from the National Highway Police (Polícia Rodoviária Federal), in Brazil. This was my final report for my Machine Learning Engineer Nanodegree and my first technical diploma in the computer science field (yey!).
This week, I finished my Nanodegree in Machine Learning Engineer by Udacity. To finish the course, I had to create a final study. Talking with a dear friend of mine, Pedro, he said that the National Highway Police of Brazil had a dataset on car accidents in federal roads. I decided to study this dataset, and try to predict which types of victims an accident would have based on the local, hour and accident characateristics.