California Housing Price

Assumptions

• The expected output of this project is a fixed value.

Data StatLib Repository, based on data from the 1990 California Census.

About California Housing Price This is a typical supervised learning task. Since we are going to predict a value of district house price, this is also a regression task. We will load the data only once at the begining of the task, this is also an example of a batch leaning method.

Set up

Requirements

1. Python (version 3.6)
2. matplotlib
3. numpy
4. pandas
5. scipy
6. sklearn
7. jupyter

References

[1] Aurélien Géron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition, 2019, O'Reilly