mikewright/ml-intro repository overview

⁠Machine Learning - An Introduction

⁠Setup

1. Pull down the dataset found in the references section below.
2. Have Python 3.6 installed
3. Create a virtual environment python3 -m venv .venv
4. Activate the virtual environment source .venv/bin/activate
5. Install python dependencies pip install -r requirements.txt
6. Download the data data/pull-data.sh
7. Start the notebook jupyter notebook

Or just use docker

docker run -it --rm -p 8888:8888 -v $PWD/notebook:/notebook mikewright/ml-intro
# Note: The password is mlintro

⁠References

• Dataquest.io⁠
• Inside Airbnb⁠
• Introducing Data Science⁠
• Tensorflow Tutorial⁠

⁠DataSet

Airbnb Dataset for Denver 2016⁠

⁠Libraries

• scikit-learn⁠
• Pandas⁠
• Tensorflow⁠
• Jupyter Notebook⁠
• Matplotlib⁠