Statistics in R. Statistics in R. 13 - Assignment

Running head: STATISTICS IN R
Statistics in R
Student Name:

Statistics in R2
Executive Summary
Machine learning is termed to be as one of the most powerful and advance technology in
recent world. More over the full potential has not been exploited so far. Machine learning is
the technology to transfer information into knowledge. Machine learning gives the ability to
learn from itself to the computer. Thus, different decision and classification-based problems
can be solved using these techniques and algorithms easily. In these analyses two dataset are
used and combine to one for further analysis. The dataset used is the survey result of
customer satisfaction for various facilities provided in the flights. The objective of the
analysis is to predict which passengers are satisfied with the specified amenities and who are
not so that the airline agency can fix the issue which can hamper the growth of airline
industry a lot. Different machine learning techniques are implemented for classifying
different classes. And at the end some conclusion has been concluded regarding the analysis
and some future scopes were also been discussed.

Statistics in R3
Table of Contents
Executive Summary...................................................................................................................2
Introduction................................................................................................................................4
Discussion..................................................................................................................................4
Conclusion................................................................................................................................13
References................................................................................................................................14

Statistics in R4
Introduction
Machine learning is the study which gives the ability to learn by itself without any
human interaction. Sometimes it can be said that machine learning is a subpart of artificial
intelligence (Biau & Scornet, 2016). Basically, it is based on the system which has the ability
to learn from the data given and can identify the patterns and can make accurate decisions
with minimal human interaction (Bischl et al., 2016). The process starts with data exploration
and observation in order to look for patters in data and better decision could be made in the
near future.
Machine learning algorithm generally classified into 2 categories-
 Supervised learning
 Un-supervised Learning
In supervised learning ladled data are provided with input data and the expected output
data are also known whereas in unsupervised learning unlabelled data are used with no proper
expected outcomes (Bottou, Curtis & Nocedal, 2018).
Discussion
The dataset used is the survey result of the airlines. Where different kinds of
feedbacks were given by the customer for various facilities provide by the airlines. The
intention of the analysis is to predict the outcomes of the customer satisfaction with respect to
other factors (Catal & Nangir, 2017). Mainly the target variable is the satisfaction of the
customer i.e.- with the facilities the customer is been satisfied or not. A lot of attributes are
taken for consideration to come up with the conclusion that the particular customer is
satisfied or not (Farooq et al., 2018).