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Hello and welcome to the interactive session of this project.

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So in this session, we have to understand our business and we have to understand more about data,

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what our data is all about.

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You will see this.

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Is that exactly the data set that we have to consider for our entire project?

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And basically it has lots of features.

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You will also hear what exactly the airline name, what does a day of journey on with passengers traveling,

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what exactly the source of the station from where it is traveling and what exactly the destination?

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What is the route or what is the departure time?

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What is the arrival time and all these different different features.

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So add then you have to build such a machine learning model that can do prediction.

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After having lots of features like this and before building such a cool and fancy machine learning model,

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you have to understand more about the data.

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And the best way to understand more about the data is by performing lots of analysis over there.

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So we will start gradually from data analysis to data wrangling, data preprocessing, as well as we're

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also going to deal with feature selection and many other techniques as well.

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So again, we will try with Manney machine learning algorithms and we will try to what exactly can be

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the accuracy of different different algorithms.

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