A tourist company planning to launch an advertisement campaign on the global market to advertise their European hotels. They want to identify regions in Europe that have a potential appeal for their clients' in various countries. In order to do that they have obtained a large dataset of users reviews of various hotels [link], that includes the reviewers country of origin, reviewers score, address and geographical coordinate of the hotel. It also includes the text and the word count of the positive and negative portions if the review.

Directions:

Download the dataset. [link](Links to an external site.). Use appropriate predictive analytics technique(s) (clustering, regression, decision trees) to identify if there are any geographical region that has a particular appeal to the clients from a particular country (within or outside of Europe).

Report (with supporting analysis results) any of those connections, or provide a substantive evidence that those connections cannot be found.

Thed dataset link just copy and paste it. This is the data set link (515K Hotel Reviews Data in Europe | Kaggle)