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This repository contains notebook and code source for community be able to reproduce content from "99% de Acuracia... tah mas e ai?"

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RodrigoCMoraes/pydata2019

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Environment preparation

If you are using Windows, you can download VirtualBox appliance from this link, to work with this environment. Otherwise you can follow steps below(For Linux users) in sequence or use Binder to try this notebook online!.

Comment this line of code on top of first cell if you are using Binder. !pip install pandas scikit-learn matplotlib

Make script executable

sudo chmod +x install.sh

Install dependencies and create environment

./install.sh

Execute Jupyter Notebook

pipenv run jupyter-notebook

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This repository contains notebook and code source for community be able to reproduce content from "99% de Acuracia... tah mas e ai?"

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