zrowgz / uw-challenge-11

Predicting Future Company Sales

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Description

Utilizing machine learning for modeling data and Facebook Prophet for forward-looking predictions, we will analyze Mercado Libre based upon website activity, stock price, and future growth of sales.

• Analysis of google searches for activity and seek out hourly, daily, weekly, and seasonal trends
• Seek comparisons between website activity and stock prices
• Model out website and sales data into forecasts for future growth expectations

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Technologies

Requirements are:

• Python 3.8
• Jupyter Notebook/Labs
• FBprophet
• hvplot

This can also be deployed on Google Colab. To install the required dependencies, remove the #'s from the appropriate lines in the first box of code, as well as replace the read_csv method such that you first upload a .csv file to colab before reading it in.

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Contributors

ZrowGz (Eamon C) Codebase provided by UW & Trilogy