What tools and technologies are covered in Diabetes Prediction With Pyspark MLLIB?

This course covers PySpark and Python.

What career roles is Diabetes Prediction With Pyspark MLLIB relevant for?

The skills and techniques in Diabetes Prediction With Pyspark MLLIB are most relevant for Científico de datos positions and other data science career paths.

Diabetes Prediction With Pyspark MLLIB | Coursera | Data Science & AI Course

Descripción

In this 1 hour long project-based course, you will learn to build a logistic regression model using Pyspark MLLIB to classify patients as either diabetic or...Lee mas.

Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.

Relevancia profesional por rol de datos

The techniques and tools covered in Diabetes Prediction With Pyspark MLLIB are most similar to the requirements found in Científico de datos data science job advertisements.

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Diabetes Prediction With Pyspark MLLIB

Descripción

Relevancia profesional por rol de datos

Hechos rápidos

Estructura

Data Science Tools and Techniques Covered

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