- This is a project that trains a model to predict the prices of houses in California using linear regression.
- This model uses real data collected during census which was conducted in the state.
- Real Estate has been one of the rising investments in the world and having such a model will help home buyers to be financially aware of price range as well as factors to settle on while buying a house.
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Scikit-learn
- Python 3.6+
- Jupyter Notebook
- Other packages such as Basemap and pyplot are used alongside matplotlib.
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The packages and libraries can be installed in the Anaconda cmd using
$ python -m pip install
or in the IDE directly mostly if you're using PyCharm.
- Linear Regression.