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.

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