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...