This repository contains the code and data for two projects that I completed during my internship at BRITISH AIRWAYS.
The first project is about web scraping BA flight reviews data from the Skytrax website, which is a source of airline and airport reviews from travelers around the world.
- Used BeautifulSoup to scrape the data and stored it in a CSV file.
- Applied natural language processing techniques such as topic modeling and sentiment analysis to extract insights from the reviews.
- Used BERT to assign sentiment scores to each review and LDA to identify the main topics that the travelers discussed.
- Visualized the results using matplotlib and seaborn.
The second project is about building a predictive model that predicts customer bookings behaviors based on their demographic and transactional data.
- Preprocessed the data and analyzed it to extract some insights.
- Applied various machine learning algorithms such as logistic regression, and random forest.
- Evaluated the performance of each model by calculating their accuracy.
- Visualized the results using matplotlib and seaborn.