Exploratory Analysis of Indian Airline's Ticket Prices using Python and Power BI
Complete static data via APIs on various aviation-related subjects.
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 Hadoop project involves analysing the airline datasets to solve a few problem statements.
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.
Build machine learning model to predict airline passenger satisfaction with LGBMClassier, XGBClassifier and RandomForestClassifier
a customized skyscanner for north-east asia flight tickets
This project involves analysing the airline datasets to solve the problem statements using HADOOP.
Exploratory Data Analysis (EDA) project on airline passenger satisfaction data. Includes data preprocessing, outlier handling, correlation analysis, segmentation, and actionable business insights to improve service quality and reduce dissatisfaction.
Exploratory Analysis of Indian Airline's Ticket Prices using Power BI
FlyingWhale Airline BI Case Study: Analyzing customer flight activity and loyalty history to optimize operations and enhance customer experience.
Annual Airline Performance Dashboard
This project to determine customer satisfaction towards an airline using SQL Server
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