Creating Optimal Hotel Recommendations

Photo by Keem Ibarra on Unsplash

Description:

The objective of this study is to predict which “hotel cluster” a user is likely to book within the Expedia Hotel Recommendations data, given the user's search details. After previewing and summarizing the data, I generate exploratory visualizations and calculate correlation. For predictive models, I use a Random Forest Classifier and then a Naive Bayes Classifier to predict hotel groups.

Data source:
Expedia Hotel Recommendations
https://www.kaggle.com/c/expedia-hotel-recommendations

Files:

• Code

Libraries:

• pandas
• numpy
• matplotlib
• seaborn
• sklearn
• yellowbrick
• scipy

Software:

• Python
• Jupyter Notebook

License

The content of this project itself is licensed under the Creative Commons Attribution 3.0 Unported license, and the underlying source code used to format and display that content is licensed under the MIT license.