13.4 AMLS Designer: Optimizing Models Background You are a data scientist for

13.4 AMLS Designer: Optimizing Models

Background

You are a data scientist for a major airline trying to understand the drivers of customer satisfaction. You ahve administered a large survey to measure satisfaction and many various potential causes. You need to build a model to predict customer satisfaction, and you want to perfect this model by optimizing fit.

Data

Use the dataset below airline_satisfaction.csv. This dataset is based on a set of customer satisfaction surveys where each row represents a completed customer survey. It includes a label called satisfaction that includes the values “satisfied” and “not satisfied”. Many other measures were included in the survey which are fairly self-explanatory but also detailed below:

Dataset details: https://www.kaggle.com/datasets/teejmahal20/airline-passenger-satisfaction

Gender: Gender of the passengers (Female, Male)

Customer Type: The customer type (Loyal customer, disloyal customer)

Age: The actual age of the passengers

Type of Travel: Purpose of the flight of the passengers (Personal Travel, Business Travel)

Class: Travel class in the plane of the passengers (Business, Eco, Eco Plus)

Flight distance: The flight distance of this journey

Inflight wifi service: Satisfaction level of the inflight wifi service (0:Not Applicable;1-5)

Departure/Arrival time convenient: Satisfaction level of Departure/Arrival time convenient

Ease of Online booking: Satisfaction level of online booking

Gate location: Satisfaction level of Gate location

Food and drink: Satisfaction level of Food and drink

Online boarding: Satisfaction level of online boarding

Seat comfort: Satisfaction level of Seat comfort

Inflight entertainment: Satisfaction level of inflight entertainment

On-board service: Satisfaction level of On-board service

Leg room service: Satisfaction level of Leg room service

Baggage handling: Satisfaction level of baggage handling

Check-in service: Satisfaction level of Check-in service

Inflight service: Satisfaction level of inflight service

Cleanliness: Satisfaction level of Cleanliness

Departure Delay in Minutes: Minutes delayed when departure

Arrival Delay in Minutes: Minutes delayed when Arrival

Satisfaction: Airline satisfaction level (Satisfaction or dissatisfaction)

Task

Complete the series of tasks detailed in the questions below

Upload your completed template file where directed below

There are two attempts on this assessment and the highest score will keep.

Points: 35

Resource Files:2 files

airline_satisfaction.csv

Optimized_Algorithms_template.xlsx

For Question 9 and 10 I will upload the files you create