melbourne-realestate

This is a tutorial project. The aim is to fit a ML model for a dataset from kaggle. Then, build a simple streamlit app on top of it.

Pre-Requisits

• Download and install git from here: https://git-scm.com/downloads/win

Set up the Project

git clone https://github.com/bmotevalli/melbourne-realestate.git
cd melbourne-realestate
python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt

Data

Download the data for this project from below:

https://www.kaggle.com/datasets/dansbecker/melbourne-housing-snapshot

Locate the data in a subfolder data.

Add .venv to notebook's kernel

pip install ipykernel
python -m ipykernel install --user --name=mel-realestate --display-name "mel-realestate"

Add your project to PYTHONPATH

WinOS:

• Powershell

$env:PYTHONPATH = "C:\path\to\your_project"

• CMD

set PYTHONPATH=C:\path\to\your_project

macOS/Linux:

export PYTHONPATH="/path/to/your_project"

Run the app

streamlit run app\views\main.py --server.runOnSave=true