Exploratory Analysis of Indian Airline's Ticket Prices using Python and Power BI
Complete static data via APIs on various aviation-related subjects.
This Hadoop project involves analysing the airline datasets to solve a few problem statements.
This is a binary classification problem, The goal is to predict which of the two levels of satisfaction with the airline the passenger belongs to: Satisfaction, Neutral or dissatisfied
This project analyzes airline reviews to compare major airlines from different regions worldwide. It involves data cleaning, analysis, and visualization using tools like R and Tableau to uncover trends and insights within the aviation industry.
Annual Airline Performance Dashboard
This project involves analysing the airline datasets to solve the problem statements using HADOOP.
Build machine learning model to predict airline passenger satisfaction with LGBMClassier, XGBClassifier and RandomForestClassifier
Examining airline route data over several years.
a customized skyscanner for north-east asia flight tickets
FlyingWhale Airline BI Case Study: Analyzing customer flight activity and loyalty history to optimize operations and enhance customer experience.
This project to determine customer satisfaction towards an airline using SQL Server
Exploratory Analysis of Indian Airline's Ticket Prices using Power BI
Add a description, image, and links to the airline-datasets topic page so that developers can more easily learn about it.
To associate your repository with the airline-datasets topic, visit your repo's landing page and select "manage topics."