Now that you’ve prepared the data for the deep learning models, you’re ready to apply the hybrid model, which leverages the strengths of both the classical and deep learning models. In this liveProject, you’ll focus on the essential steps for running a time series analysis. You’ll start with ensuring the data you prepared is ready for processing with the deep learning models. Next, you’ll run the RNN and LSTM for the separate datasets. Finally, you’ll evaluate the performance of your models.
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 intermediate machine learning knowledge, and be familiar with the following:
In this liveProject, you’ll focus on preparing data for deep learning models:
geekle is based on a wordle clone.