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Learn how to predict future events using Python and TensorFlow 2 in this 29-minute tutorial. Explore techniques for preprocessing event data, structuring an LSTM model for event prediction, and generating the next best action to drive progress. Follow along as the instructor demonstrates how to create a project, establish an event key, create series, implement categorical functions, and apply data science practices. Dive into the implementation of Dense Layers and make predictions. Access the accompanying blog post and GitHub repository with sample data to enhance your learning experience.
