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Imagine you’re a consultant with a number of prestigious financial institutions on your client list. One of them has hired you to increase the accuracy of their model for predicting stock prices. You rise to the challenge, deciding on some classical time series models. But before you can propose a reliable model, you must decompose and examine the time series data in order to understand its pattern. Once you have a firm grasp on the data’s peculiarities, you’ll be ready to run the time series modeling.
This liveProject is for finance practitioners and anyone interested in gaining hands-on experience with time series analysis in finance.To begin this liveProject you will need to know the basics of time series analysis, have beginner-level deep learning knowledge, and be familiar with the following:
In this liveProject, you’ll gain experience exploring data in time series using visualization and statistical tools. You’ll learn to identify time series components and stationarity to understand patterns in your data and to tune your parameters as necessary to prepare for modeling.
geekle is based on a wordle clone.