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python numpy pandas mongo AzureMLS AzureCosmos sklearn Streamlit

Introduction

This project was developed with the motivation of overcoming a real case provided to us by NTT DATA during a masterclass organized in their A Coruña headquarters.

Goal

We had a lot of goals here:

  • Being capable of solving the three challenges from NTT Data over this dataset:

    • Realizing an exploratory data analysis over the distinct client profiles
    • Predict which clients would be more likely to contract a fixed deposit or to reject it
    • Deploying this solution to production
  • Making sure that this NTT Data challenges fitted perfectly with the ones from Hack a Boss:

    • Development of a Streamlit webapp to showcase our results
    • Include a Power BI embedded in our Streamlit webapp
    • Test our Machine Learning model live
  • And of course our own requisites and challenges:

    • Explore and implement new technologies as we've been doing in our last projects
    • Learn a lot from Cloud development
    • Do it in a week

Web app for testing!

In this web you can try our models and get a little more info about the results of the challenges explained in this readme.

We really hope you like it and share your thoughts!

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