In this section, we will look at the predictive analytics in finance domain.
Predictive models like linear regression are not only used to predict the future, but they are also
used to derive the relationship between different events.
For example, you can analyze the role of advertisement, budget, employee bonuses, operational expenditure,
etc. on the revenue of the company.
You can use linear regression to do that.
Using models like linear regression, you can analyze how one variable will behave when we change other
variables.
As many of you may be new to statistics and machine learning, we have added next few lectures on the
understanding of some basic concepts of statistics and machine learning.
After that.
We will look at concept behind the linear regression model.
And we will also and we will be also telling you how to prepare your data for the linear regression
model.
At the end, we will be solving a case study to apply your learning.