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

The video tutorial covers the preparation of a dataset for a regression task, focusing on predicting the opening price of a stock. It discusses the importance of maintaining sequential data, the challenges of setting up training and testing datasets, and the process of building a model using sequential data. The tutorial also includes a practical implementation in Jupyter Notebook, demonstrating data preprocessing, sequence generation, and model building using LSTM networks.

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