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yfinance

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This repository contains implementations of regression models on the Starbucks stock market. The goal is to provide a comprehensive understanding of the performance of these models. Also, implement metrics without relying on external machine learning libraries. ☕️📈

  • Updated Jun 5, 2024
  • Jupyter Notebook

This project predicts stock prices using FB Prophet for time series forecasting and yfinance to fetch historical data. Visualizations are created with Taipy Charts, offering interactive and dynamic insights. Users can input stock ticker symbols to view future price predictions, aiding in informed investment decisions. Easy to set up with Python.

  • Updated May 30, 2024
  • Python

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