Basic intro to using numpy and sklearn. Predict house value using Linear Regression, Decision Trees and Random Forests.
Notebook may not render on github due to sporadic errors on github's side (jupyter/notebook#3555). If this error persists and you want to look at this project, please clone the repo through the follwowing steps:
- cd <your_working_directory>
- git clone https://github.com/junjun99/Housing_ML.git
- cd Housing_ML
- pip3 install jupyter (assuming you have a working version of python3)
- jupyter notebook
- the application should launch in your browser and you may click on the notebook (Housing.ipynb file) and view the contents