This Jupyter Notebook was used to give a workshop about Machine Learning with Python in Brazil with the support of WoMakersCode Community.

The Notebook is a Machine Learning Solution to a Kaggle Competition. You can read more about the challenge here: Titanic: Machine Learning from Disaster

You can access the slides used in the workshop here: Workshop Slides Presentation

These instructions will get you a copy of the project up and running on your local machine for development and learning purposes.

• Python 3.7
• Jupyter Notebook (I recommend using Anaconda)

Download or clone this repository to your machine (it includes jupyter notebook and titanic)

Windows

Inside your project folder with all the files from this repository, open cmd and run the command jupyter notebook. Your cmd should looke like the image below:

Now, you are all started and it should open a new tab on your browser running Jupyter.

• Carla Vieira - @carlaprvieira

• Megan Risdal notebook on Kaggle
• Classificando Músicas do Spotify com SVM (Com Códigos Python)
• Train/Test Split and Cross Validation in Python
• Cross-validation: evaluating estimator performance