British Airways Customer Reviews Analysis

Project Link

Task 1: Web Scraping for Company Insights

Objective: Extract and analyze airline reviews from Skytrax to gain valuable insights.

Steps:

Data Collection: Scrape review data from Skytrax using Python and Jupyter Notebook.

Data Cleaning: Prepare the messy text data for analysis by cleaning and preprocessing it.

Data Analysis: Employ techniques like topic modeling, sentiment analysis, or wordclouds to uncover insights from the reviews.

Presentation: Summarize findings in a single PowerPoint slide, including visualizations, metrics, and concise explanations.

Task 2: Predicting Customer Buying Behavior

Objective: Build a machine learning model to predict customer bookings based on given dataset.

Steps:

Data Exploration: Analyze the dataset to understand its structure and statistics.

Data Preparation: Prepare the data for modeling, including feature engineering if necessary.

Model Training: Train a RandomForest model to predict customer bookings.

Model Evaluation: Evaluate model performance using cross-validation and metrics.

Variable Importance: Analyze variable contributions to the model's predictive power.

Presentation: Summarize findings in a single PowerPoint slide, including visualizations and key insights.