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Now that you’ve tackled volatility modeling in a traditional way, in this liveProject, your employer has challenged you to uplevel your volatility modeling by taking a more dynamic, data-dependent approach. By the end of this project, you’ll have firsthand experience modeling volatility using support vector machines with different kernels, neural networks, and deep learning models. What’s more, you’ll have the skills to determine if the machine learning-based models outperform the traditional parametric models.
The liveProject is for intermediate Python programmers with an intermediate knowledge of data science. To begin this liveProject, you will need to be familiar with the following:
geekle is based on a wordle clone.