Description:
This project involves sentiment analysis of customer reviews using web scraping and predicting customer buying behavior with machine learning models. It focuses on data cleaning, exploratory analysis, and model development, providing hands-on experience with airline industry data.
This repository contains the essential project files and resources for your journey through the British Airways Data Science Virtual Internship, offered in collaboration with Forage.
Embark on a hands-on exploration of real-world data science challenges alongside British Airways. Throughout this virutL internship, you'll immerse yourself in tasks spanning:
- Data cleaning
- Exploratory analysis
- Feature engineering
- Model development
All tasks are centered around airline-related datasets, offering a unique opportunity to sharpen your data science skills while gaining valuable insights into the dynamic airline industry.
Take the first step by signing up for the British Airways Data Science Virtual Internship on the Forage platform. Let the journey begin!
- Objective: Apply web scraping techniques to extract unstructured data from British Airways Reviews.
- Analysis: Conduct sentiment analysis to classify customer reviews as positive or negative.
- Presentation: Prepare a PowerPoint presentation highlighting key insights and analysis.
- Objective: Develop a classification model to predict customer buying behavior.
- Analysis: Explore various machine learning models to enhance prediction accuracy.
- Presentation: Create a PowerPoint presentation summarizing insights and model performance.
- Program link: Forage British Airways