The document discusses predicting the price of airline tickets using a dataset containing information about flights. The dataset includes attributes like airline, date of journey, source, destination, route, departure time, arrival time, duration, number of stops, and price. It describes each attribute in the dataset. The team will use this flight information to develop a model for predicting airline ticket prices.

1. Predict Price of Airline Tickets
GROUP ONE , MODERN ACADEMY

2. Team
 Ahmed Samer Abd-Elghany
 Abdelrhman Hussien Mansour
 Sameh Glal Farouk
 Salah Saleh Salah

3. Data domain :
 In data management and data analysis , a data domain is the collection of
values that a data element may contain , The rule for determining the
domain boundary may be as simple as a data type with an enumerated list
of values.
 To begin, we need information on aircraft business and mass transit in
order to develop the airline ticket pricing model just at data set contains
group of items with the following attributes: Airlines , Date_of_Journey ,
Source , Destination , Route , Dep_Time , Arrival_Time , Duration ,
Total_Stops , Additional_Info , Price.
 All information in dataset from airlines .

4. Description for all items in data set :
Feature Name Description
Airlines As a result, this article will include all sorts of airlines such
as Indigo, Jet Airways, Air India, among others.
Date of Journey This column will inform us of the date the passenger's
travel will begin
Source This column includes the names of the locations from
which the guest's journey will begin.
Destination This column includes the names of the locations from
which the guest's journey will end.
Route This column includes the names of the location from
where the customer's journey would begin.
Dep_Time The duration of a flight is the amount of time it takes to
go from point A to point B.
Arrival Time It will indicate how many spots the flight will stop over its
journey.
Duration The flight's endurance in hours and minutes
Total Stops The total number of breaks in the voyage.

5. Questions about the data set and we tried to
answer them :

11. Graphs :