Introduction to Machine Learning with Python

The materials for this workshop are all located in the linked Jupyter Notebook. To open the notebook, we recommend the following workflow.

Getting Started with Anaconda

First, let's install Anaconda.

Once Anaconda is installed, create and activate a virtual environment:

# create a virtual environment with Python 3.6 named "3.6"
conda create python=3.6 --name=3.6 -y

# activate the virtual environment
source activate 3.6

Running the Workshop Notebook

You should now see (3.6) is a prefix in your terminal prompt. Once you see that prefix, you can start the notebook with the following commands:

git clone https://github.com/YaleDHLab/lab-workshops
cd lab-workshops/machine-learning
pip install -r requirements.txt
jupyter notebook machine-learning.ipynb