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ML y Big Data con PySpark para la retención de clientes

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Es un curso práctico y efectivo para aprender a generar modelos de Machine Learning con PySpark en un entorno de Big Data para predecir el "Churn" del cliente. Te enseñaremos desde cero los fundamentos de Spark y MLlib, y acabarás desarrollando avanzados modelos de Machine Learning con MLlib y PySpark.

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Dive into the dynamic world of data science and AI with the course "ML y Big Data con PySpark para la retención de clientes" on Coursera. This intermediate-level course is designed for those looking to harness the power of PySpark in a Big Data environment to create predictive models for customer retention, commonly known as "Churn." Led by expert instructors, this practical and effective program spans 180 minutes, offering a comprehensive learning experience. Participants will gain hands-on experience in generating machine learning models, specifically tailored to predict customer behavior and improve retention strategies. One of the standout features of this course is its accessibility; it is available for free, making it an excellent opportunity for data enthusiasts and professionals eager to advance their skills without a financial commitment. Whether you're a data scientist, analyst, or simply looking to expand your expertise in machine learning and Big Data, this course provides the tools and knowledge needed to excel in the field of customer retention analytics. Enroll today and start transforming data into actionable insights!