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Hello, everyone, welcome to this online session on exploratory data analysis.

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Before you develop artificial intelligence machine learning model, you are expected to do some data

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analysis.

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You are expected to check a few things.

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All these things are done to ensure a higher forecast accuracy.

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I'm bringing decision based on my personal experience in doing exploratory data analysis and in trying

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to improve the forecast accuracy of machine learning models.

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I'm confident that this session will be very useful to young learners and also to young professionals,

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because I have seen that young professionals have a tendency to jump straight into developing artificial

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intelligence machine learning models without doing this exploratory data analysis.

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So this session will talk about one of the things you need to do before you build the models.

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How can you understand the data better and what are the things you need to check as part of this exploratory

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data analytics?

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MultiKulti is one of those checks.

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So we going to start with understanding the data and univariate analysis.

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And by varied analysis, how can you do this right as part of exploratory data analysis, if there are

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missing values, how are you going to handle it?

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Because in real life scenario, you are going to have missing values, right?

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That's that's part of life.

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So how are you going to handle and you will have outlines in such a scenario?

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How are you going to manage the outlets?

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Right.

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Do you need to transform the variables or do you need to do something more?

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All of this we will be covering as part of it.

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OK, so before winding up the introductory session, I want to take a minute to introduce myself.

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I'm the founder and CEO of an artificial intelligence helps people that I have about two decades of

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experience, predominantly in the tech and related fields.

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I have developed products in the areas of health care Industry 4.0 and risk and customer experience.

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I'm also an author.

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I have numerous certifications in the areas of artificial intelligence, Six Sigma Project Management

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and LP.

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I won global awards in the areas of high quality customer experience and leadership excellence.

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So that's about me.

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And let's get started.