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In this section, we will look at the predictive analytics in finance domain.

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Predictive models like linear regression are not only used to predict the future, but they are also

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used to derive the relationship between different events.

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For example, you can analyze the role of advertisement, budget, employee bonuses, operational expenditure,

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etc. on the revenue of the company.

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You can use linear regression to do that.

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Using models like linear regression, you can analyze how one variable will behave when we change other

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variables.

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As many of you may be new to statistics and machine learning, we have added next few lectures on the

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understanding of some basic concepts of statistics and machine learning.

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After that.

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We will look at concept behind the linear regression model.

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And we will also and we will be also telling you how to prepare your data for the linear regression

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model.

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At the end, we will be solving a case study to apply your learning.