California Median Housing Price Prediction

Setup

Getting Source Code

https://github.com/QubitPi/california-housing-price.git

Creating an Isolated Environment

It is strongly recommended to work in an isolated environment. Install virtualenv and create an isolated Python environment by

python3 -m pip install --user -U virtualenv
cd california-housing-price
python3 -m virtualenv .venv

To activate this environment:

source .venv/bin/activate

or, on Windows

./venv\Scripts\activate

Tip

To deactivate this environment, use

deactivate

Installing Dependencies

python3 -m pip install -U jupyter matplotlib numpy pandas scipy scikit-learn

If we created a virtualenv, we need to register it to Jupyter and give it a name:

python3 -m ipykernel install --user --name=python3

Starting Jupyter Server

Now we can fire up Jupyter by typing the following command:

jupyter notebook

A Jupyter server is now running in our terminal, listening to port 8888. We can visit this server by opening our web browser to http://localhost:8888/

Open up the notebook