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 Data Scientist positions and other data science career paths.

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

Description

By the end of this course, learners will be able to build, evaluate, and optimize machine learning models using Python.Read more.

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Career Relevance by Data Role

The techniques and tools covered in Machine Learning with Python: Build & Optimize are most similar to the requirements found in Data Scientist data science job advertisements.

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Machine Learning with Python: Build & Optimize

Description

Career Relevance by Data Role

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Data Science Tools and Techniques Covered

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