## Linear Regression – Revisited

In Lesson 1, *From Data to Decisions – Getting Started with TensorFlow* we have seen an example of linear regression. We have observed how to work TensorFlow on the randomly generated dataset, that is, fake data. We have seen that the regression is a type of supervised machine learning for predicting the continuous-valued output. However, running a linear regression on fake data is just like buying a new car and never driving it. This awesome machinery begs to manifest itself in the real world!

Fortunately, many datasets are available online to test your new-found knowledge of regression:

The University of Massachusetts Amherst supplies small datasets of various types: http://www.umass.edu/statdata/statdata/

Kaggle contains all types of large-scale data for machine learning competitions: https://www.kaggle.com/datasets

Data.gov is an open data initiative by the US government, which contains many interesting and practical datasets: https://catalog.data.gov

Therefore...