HackMty 2021 Edition - Banorte Challenge

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  Predction Results I

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  Predction Results II

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  CodePreviewI

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  CodePreviewII

Inspiration

We decided to apply all our knowledge about data science and Python programming to propose a regression model.

What it does

It predict the inflation based on: Food, beverages and tobacco; No-food merchandise; Home or living place; Education; Other services; Fruits and vegetables; Livestock; Energizers; Government Authorized Rates

How we built it

We used methods, functions and libraries in Python to get the result. Using a regression model and analyzing, it is how we achieve our project.

Challenges we ran into

The way in which the information from the INEGI databases was displayed. And some manipulation of variables in the data analysis.

Accomplishments that we're proud of

We are a responsable and determined team. Everyone was available to solve this challenge.

What we learned

We learned the value of friendship and how to read raw data.

What's next for HackMty 2021 Edition - Banorte Challenge

Try doing our best and achieve important experiences.

Sincerely,

def team(FIX):
    return hackathon_completed

Built With

• git
• github
• google-colab
• python