Hello and welcome to the interactive session of this project.
So in this session, we have to understand our business and we have to understand more about data,
what our data is all about.
You will see this.
Is that exactly the data set that we have to consider for our entire project?
And basically it has lots of features.
You will also hear what exactly the airline name, what does a day of journey on with passengers traveling,
what exactly the source of the station from where it is traveling and what exactly the destination?
What is the route or what is the departure time?
What is the arrival time and all these different different features.
So add then you have to build such a machine learning model that can do prediction.
After having lots of features like this and before building such a cool and fancy machine learning model,
you have to understand more about the data.
And the best way to understand more about the data is by performing lots of analysis over there.
So we will start gradually from data analysis to data wrangling, data preprocessing, as well as we're
also going to deal with feature selection and many other techniques as well.
So again, we will try with Manney machine learning algorithms and we will try to what exactly can be
the accuracy of different different algorithms.
So just with me in all the upcoming sessions and have a fun.