Data Science and Machine Learning (Theory and Projects) A to Z - Project II_ Stock Price Prediction: Activity

The video tutorial covers stock price prediction using neural networks. It begins with an introduction to converting data into sequences and building a recurrent neural network. Activity 1 involves creating a plain neural network without recurrent layers to solve a regression problem. Activity 2 is more advanced, focusing on using recurrent networks for multi-step predictions, similar to text generation. The tutorial concludes with recommendations for further learning and understanding of neural networks.

Explain how the model for stock price prediction is similar to the text generation model.

What challenges might one face while implementing the second activity?

How can understanding neural networks help in solving different types of problems?