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4 Steps to Combine Both Approaches Data-driven and AI-driven modelling involves integration in well-defined, structured steps where each surely can assure a mix of efficiency and insight with a broader view. Unify Data Sources Collect data from multiple systems into one cohesive dataset.

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Explore Machine Learning with Python: Become familiar with prominent Python artificial intelligence libraries such as sci-kit-learn and TensorFlow. Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines.

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