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Learn how to build an interpretable AI model for stock price forecasting using Python and Explainable AI techniques.

Discover the true challenges of learning programming beyond simplistic approaches and the importance of a deep understanding.

Discover key strategies for cross validation, their pros and cons, and when to use them in machine learning.