Hello, everyone, welcome to this online session on exploratory data analysis.
Before you develop artificial intelligence machine learning model, you are expected to do some data
analysis.
You are expected to check a few things.
All these things are done to ensure a higher forecast accuracy.
I'm bringing decision based on my personal experience in doing exploratory data analysis and in trying
to improve the forecast accuracy of machine learning models.
I'm confident that this session will be very useful to young learners and also to young professionals,
because I have seen that young professionals have a tendency to jump straight into developing artificial
intelligence machine learning models without doing this exploratory data analysis.
So this session will talk about one of the things you need to do before you build the models.
How can you understand the data better and what are the things you need to check as part of this exploratory
data analytics?
MultiKulti is one of those checks.
So we going to start with understanding the data and univariate analysis.
And by varied analysis, how can you do this right as part of exploratory data analysis, if there are
missing values, how are you going to handle it?
Because in real life scenario, you are going to have missing values, right?
That's that's part of life.
So how are you going to handle and you will have outlines in such a scenario?
How are you going to manage the outlets?
Right.
Do you need to transform the variables or do you need to do something more?
All of this we will be covering as part of it.
OK, so before winding up the introductory session, I want to take a minute to introduce myself.
I'm the founder and CEO of an artificial intelligence helps people that I have about two decades of
experience, predominantly in the tech and related fields.
I have developed products in the areas of health care Industry 4.0 and risk and customer experience.
I'm also an author.
I have numerous certifications in the areas of artificial intelligence, Six Sigma Project Management
and LP.
I won global awards in the areas of high quality customer experience and leadership excellence.
So that's about me.
And let's get started.