Media Company Case Study - Understanding Industry Relevance of Linear Regression

Recall the case of a media company from the business cases that we considered for the application of linear regression; this case is quite similar.

The problem statement is as follows: A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then, it started witnessing a decline in viewership. The company wants to figure out what went wrong.

You can download the data set, data dictionary and the IPython Notebook from below:

Let’s see how we can use linear regression to identify the root cause of the decline in viewership.

Let's now understand the data that we will use to derive our insights. You should open the Media Company data set that you downloaded above.

You looked at the digital media company data set. You understood the various attributes that could have led to a decline in the new show’s viewership. In the next lecture, you will look at the exploratory data analysis of the data set.

Additional readings:

Read to understand more about ad impressions here.