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Machine Learning y Regresión con PySpark. Guía paso a paso

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Es un curso práctico y efectivo para aprender a generar modelos de regresión (Machine Learning) con PySpark en un entorno de Big Data. Te enseñaremos desde cero los fundamentos de Spark y MLlib, y acabarás desarrollando avanzados modelos de regresión en PySpark para predecir el precio de las viviendas o el número de bicis que se alquilarán por horas.

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Unlock the power of machine learning in the realm of Big Data with the "Machine Learning y Regresión con PySpark. Guía paso a paso" course. Designed for beginners, this engaging and practical course will guide you through the essentials of Spark and MLlib, providing you with the skills to build sophisticated regression models using PySpark. Led by experienced instructors from Coursera, you'll start from the basics and progress to developing advanced models capable of predicting housing prices and hourly bike rentals. The course spans 120 hours of comprehensive content, ensuring you gain a solid foundation in both machine learning and PySpark. With a free subscription option, this course is accessible to anyone eager to delve into data science and AI, making it an ideal starting point for aspiring data scientists and AI enthusiasts looking to enhance their skill set in a Big Data environment. Join now and take the first step towards mastering machine learning and regression with PySpark.