What tools and technologies are covered in Machine Learning with Python: Build & Optimize?

This course covers Pandas, Matplotlib, NumPy, Python and scikit-learn.

What career roles is Machine Learning with Python: Build & Optimize relevant for?

The skills and techniques in Machine Learning with Python: Build & Optimize are most relevant for Científico de datos positions and other data science career paths.

Machine Learning with Python: Build & Optimize | Coursera | Data Science & AI Course

Descripción

By the end of this course, learners will be able to build, evaluate, and optimize machine learning models using Python.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 Machine Learning with Python: Build & Optimize are most similar to the requirements found in Científico de datos data science job advertisements.

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Machine Learning with Python: Build & Optimize

Descripción

Relevancia profesional por rol de datos

Hechos rápidos

Estructura

Data Science Tools and Techniques Covered

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