GTC ML Project 1: Hotel Bookings

Overview

This project involves performing data preprocessing on a hotel bookings dataset and preparing it for training machine learning models to predict booking cancellations.

Structure

• gtc_ml_project1_hotel_bookings.ipynb – The main Google Colab notebook containing all steps:
  • Phase 1: EDA
  • Phase 2: Data Cleaning
  • Phase 3: Feature Engineering & Preprocessing
• hotel_bookings.csv – The original raw dataset.
• GTC ML Project 1.pdf – Project instructions.

How to Use

1. Open the notebook (.ipynb) in Google Colab.
2. Run all cells sequentially from Phase 1 → Final Preparation.
3. The notebook flows logically with Markdown headers for each phase.

---