Applied Machine Learning: Tabular, Forecasting & Deployment

This Specialization is designed for data scientists, machine learning engineers, and analytics engineers who want to strengthen their production machine learning skills. Across three courses, learners progress from tabular machine learning and feature engineering to time-series forecasting with Python and real-time ML systems with APIs, feature stores, and model-serving infrastructure.

The curriculum emphasizes model deployment, practical evaluation, and the engineering techniques needed to serve machine learning models in production environments.

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