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.
REST API for airline information including IATA/ICAO codes, fleet data, and home airports. Search 1,000+ airlines worldwide.
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
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.
Build machine learning model to predict airline passenger satisfaction with LGBMClassier, XGBClassifier and RandomForestClassifier
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.
Skyscanner Scraper gets you Skyscanner data ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — as clean JSON. 1,000 free calls/month ❤️
Exploratory Analysis of Indian Airline's Ticket Prices using Power BI
Analyzing the relationship between airline revenue management, operational efficiency, and CO₂ emissions across 9 U.S. airlines from 2006–2019 using MIT airline data.
Visualizing busiest airline routes (2015–2019) using Python + Tableau.
Customer segmentation on airline loyalty data using LRFMC model and K-Means clustering to identify 5 distinct groups based on customer transaction behavior and provide data-driven marketing strategy recommendations.
End-to-end NLP project for predicting airline recommendations from customer reviews.
FlyingWhale Airline BI Case Study: Analyzing customer flight activity and loyalty history to optimize operations and enhance customer experience.
This project involves analysing the airline datasets to solve the problem statements using HADOOP.
Annual Airline Performance Dashboard
Data Analysis and Visualizations of Airline Flight Data. Demonstration of Python Pandas, Matplotlib, Exploratory Data Analysis, Systems/Critical Thinking, and Data/Operations Analytics.
Time Series Forecasting using ARIMA with airline passenger data, stationarity testing, decomposition, forecasting, and an interactive Streamlit dashboard.
This project to determine customer satisfaction towards an airline using SQL Server
To associate your repository with the airline-datasets topic, visit your repo's landing page and select "manage topics."