Strongbytes / automl-on-kaggle

Getting to top 4% on Kaggle's Titanic using Azure Automated Machine Learning

Here's what you need in order to run this notebook:

• Clone this repository somewhere nice
• Create a Kaggle account, join the Titanic competition competition, download its data files to the data folder
• Make sure you have an Azure account with enough credits (~20 EUR should be fine).
• Install either Miniconda or Anaconda. The Python 3.7 version 🐍
• Run the following commands inside this directory from the Conda prompt

conda env create -f env.yml -n automl_on_titanic
conda activate automl_on_titanic
pip install --user ipykernel

ipython kernel install --user --name=automl_on_titanic

jupyter notebook

• If everything runs fine and at the end you can open the auto-ml-and-kaggle.ipynb notebook then congrats, you've conquered this challenge 🥳
• If something fails, let @vladiliescu or @dotnet18 know about it and they'll help you out