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Hello, welcome to the interactive session of this hotel booking project in which we are going to build

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such a machine learning model that can predict whether a particular booking which has been done by a

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user is going to cancel or not.

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So this is exactly our that feature that we have to predict considering this all these dozens of features

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over here.

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You can see how much huge chunk of data we have over here.

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How do we have lots of feature?

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What exactly the hotel?

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What are the lead?

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What does the arrival date, month.

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Arrival date?

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What does these days and weekends?

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We have tons of features.

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And considering is all these features, we have to build such a machine learning model that can predict

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whether a particular booking is going to cancel or not.

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But before building such a model, you have to understand your data or what your data is all about.

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So the best way to understand new data is that performing lots of analysis on new data by fact and some

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amazing insights from this huge chunk of data.

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And once we understand about data, what my data is all about, what exactly did I think once we understand

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our data to a greater extent than we are going to build such a model that can predict what exactly is

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going with?

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It is back to this future by doing lots of data processing, doing lots of feature encoding techniques,

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changing techniques, dealing with missing value and lots of machine learning algorithms, we are going

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to apply on our data.

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So that is exactly what all I get behind this project.

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So I hope you will know why we are going to do this project and hope you will understand the importance

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of this project as well.

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So just with me and have a fun for all the upcoming sessions.