Digital Developer Conference: Cloud Security 2021 – Build the skills to secure your cloud and data Register free

Forecasting the Stock Market with Watson Studio

Dubai

October 2, 2020 3:00 pm GST

Using IBM Watson Studio and Watson Machine Learning, this code pattern provides an example of data science workflow which attempts to predict the end-of-day value of S&P 500 stocks based on historical data. This pattern includes the data mining process that uses the Quandl API – a marketplace for financial, economic, and alternative data delivered in modern formats for today’s analysts.

🎓 Learning outcomes

  • Use Jupyter Notebooks in Watson Studio to mine financial data using public APIs.
  • Use specialized Watson Studio tools like Data Refinery to prepare data for model training.
  • Build, train, and save a time series model from extracted data, using open-source Python libraries or the built-in graphical Modeler Flow in Watson Studio.
  • Interact with IBM Cloud Object Storage to store and access mined and modeled data.
  • Store a model created with Modeler Flow and interact with the Watson Machine Learning service using the Python API.
  • Generate graphical visualizations of time series data using Pandas and Bokeh.

🎙Speakers

🎈Prerequisites

👩‍💻Resources

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Dubai, United Arab Emirates

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