/AMEX_HACKS

Primary LanguageJupyter Notebook

This repositiory has been created for American Express Makeathon 2019

The problem statement given was: How would you like American Express to engage with Millennials and onboard them as American Express Member?

We created a webiste 'AMEX ANALYTICS' to be a one stop solution to help in solving this.

To run our website, Run index.html file under FrontEndFinal folder.

Also, a few of our models have also been added to the repository.

  1. Review_scrape_analysis_Customers_Retention_Dissatisfied.ipynb is a model for Identifying dissatisfied customers through scraped tweets

  2. Review_scrape_analysis_Customers_competition_dissatisfied.ipynb is a model for Identifing dissatisfied customers of competitor companies

  3. positivekeyword_detection.ipynb is a model which analyses all the positive keywords in the reviews to retain the features most liked by users.

  4. review_analysis_2.ipynb is a model for determining the class of review(postitve/negative) using dataset of reviews.

Presentation for the hackathon has also been added in the repository.