This is a project that uses Jupyter to analyse datasets from the infamous Titanic tragedy of 1912. The goal is to use a Kaggle-designed workflow to train a machine to accurately guess which people survived the sinking based on available data on the passengers. I am using this as a way to understand the basics of machine learning and data science with Python.
In order to use this program, you will need either Jupyter Notebook or Jupyter Lab. The instructions show you how to install them too.
First, clone this repository using:
git clone https://github.com/Xa1n/jupyter.git
Cd into the repository and install Jupyter Notebook or Jupyter Lab:
brew install jupyter notebook
and/or
brew install jupyter lab
Then run either jupyter notebook or juypter lab