Airways Customer Booking Analysis

• Web Scraping and Data Analysis for Predicting Customer Buying Behavior

Overview:

• This project involves web scraping, data preprocessing, and data analysis using Python, including NLP tasks such as topic modeling, sentiment analysis, and word clouds. It also includes a machine learning project to predict customer buying behavior, encompassing model building and feature importance analysis.

Main Features of Project:

• Web Scraping and Data Analysis: Collecting online data through web scraping, preprocessing, and employing Python for NLP tasks to extract valuable insights.
• Predicting Customer Buying Behavior: Leading a machine learning project to predict customer buying behavior and sharing detailed findings and recommendations.

Process Steps:

Web Scraping and Data Analysis:

• Collected online data through web scraping.
• Conducted data preprocessing for analysis.
• Employed Python for NLP task including topic modeling, sentiment analysis, and word clouds.
• Extracted valuable insights from the data.

Predicting Customer Buying Behavior:

• Led a machine learning project to predict customer buying behavior.
• Conducted model building and feature importance analysis.
• Prepared and shared a detailed report with findings and recommendations.

Conclusion:

• This project showcases the power of web scraping and data analysis to extract valuable insights. Additionally, the machine learning aspect provides a foundation for predicting customer buying behavior, which can be invaluable for making informed business decisions and recommendations based on the findings.