What tools and technologies are covered in Machine Learning in Python: Analyze & Apply?

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

What career roles is Machine Learning in Python: Analyze & Apply relevant for?

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

Machine Learning in Python: Analyze & Apply | Coursera | Data Science & AI Course

Descripción

By the end of this course, learners will be able to analyze machine learning fundamentals, apply NumPy for numerical computing,.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 in Python: Analyze & Apply are most similar to the requirements found in Científico de datos data science job advertisements.

Puntuaciones de similitud (sobre 100)

Machine Learning in Python: Analyze & Apply

Descripción

Relevancia profesional por rol de datos

Hechos rápidos

Estructura

Data Science Tools and Techniques Covered

Suscríbete para recibir actualizaciones

Oportunidades similares

Data Science Bootcamp

Data Science Bootcamp

Introduction to Applied Machine Learning

Thinkful - Data Science Bootcamp

Learn to be a Data Scientist

Introduction To Machine Learning With Python

Data Science and Machine Learning MSc

Building Chatbots in Python

Seleccionar fuente de aprendizaje