Hello, welcome to the interactive session of this hotel booking project in which we are going to build
such a machine learning model that can predict whether a particular booking which has been done by a
user is going to cancel or not.
So this is exactly our that feature that we have to predict considering this all these dozens of features
over here.
You can see how much huge chunk of data we have over here.
How do we have lots of feature?
What exactly the hotel?
What are the lead?
What does the arrival date, month.
Arrival date?
What does these days and weekends?
We have tons of features.
And considering is all these features, we have to build such a machine learning model that can predict
whether a particular booking is going to cancel or not.
But before building such a model, you have to understand your data or what your data is all about.
So the best way to understand new data is that performing lots of analysis on new data by fact and some
amazing insights from this huge chunk of data.
And once we understand about data, what my data is all about, what exactly did I think once we understand
our data to a greater extent than we are going to build such a model that can predict what exactly is
going with?
It is back to this future by doing lots of data processing, doing lots of feature encoding techniques,
changing techniques, dealing with missing value and lots of machine learning algorithms, we are going
to apply on our data.
So that is exactly what all I get behind this project.
So I hope you will know why we are going to do this project and hope you will understand the importance
of this project as well.
So just with me and have a fun for all the upcoming sessions.