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Stock Prices Prediction Project
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Stock Prices Prediction Project

Stock Prices Prediction Project

IntroductionImport Necessary Libraries and DataPreliminary ExplorationLet's Plot the Evolution of a Single StockAdd Multiple Stocks to a Single PlotCheck the Consistency of the DataProphetProphet FitPredictions Using ProphetPlot the Results

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Let's Plot the Evolution of a Single Stock

Line graphs are important in Python because they are a useful tool for visualizing and analyzing data. They are particularly useful for showing trends over time or comparing multiple sets of data. Line graphs can be easily created in Python using libraries such as matplotlib, seaborn, and plotly.

These libraries provide a wide range of customization options, allowing you to create high-quality and professional-looking graphs with minimal effort. Additionally, line graphs can be easily exported as image files or embedded in web pages, making them a great way to share data with others.

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  1. Select only the data coming from the Apple stock ("AAPL");
  2. Select only the "date" and "close" columns;
  3. Plot the Series.

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