Practical Machine Learning (Coursera)

Practical Machine Learning (Coursera)

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Descripción de “Practical Machine Learning (Coursera)”

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.

Practical Machine Learning is course 8 of 10 in the Data Science Specialization.

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

Especificaciones: Practical Machine Learning (Coursera)

Curso ofrecido por
Disponibilidad

✔ Disponible

Plataforma

Universidad

Impartido por

Jeff Leek

País

USA

Nivel, duración y fechas
Nivel

No informado

Fecha

04/05/2020

Duración

4 semanas

Tiempo necesario

4-6 horas/semana

Idioma del curso
Idioma vehicular

Inglés

Subtítulos

No informado

Exámenes y Certificados
Certificados

Certificado de Pago

Exámenes/Proyectos

Con Examen/Proyecto Final de pago

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Practical Machine Learning (Coursera)
Practical Machine Learning (Coursera)

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