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Python Numpy: Machine Learning & Data Science Course

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Learn Numpy and get comfortable with Python Numpy in order to start into Data Science and Machine Learning




Python Numpy: Machine Learning & Data Science Course

What you’ll learn

  • Fundamentals of Numpy Library and a little bit more
  • Installation of Anaconda and how to use
  • Using Jupyter notebook
  • Learn Fundamentals of Python for effectively using Numpy Library
  • Numpy arrays
  • Numpy functions
  • Linear Algebra
  • Most importantly you will learn the Mathematics beyond the Neural Network
  • Also, why you should learn Python and Numpy Library
  • The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.
  • You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms




Requirements

  • No prior knowledge is required
  • Free software and tools used during the course
  • Basic computer knowledge
  • Desire to learn Python and Numpy library
  • Nothing else! It’s just you, your computer and your ambition to get started today




Who this course is for:

  • Anyone who wants to learn Numpy
  • Anyone who want to use effectively linear algebra,
  • Software developer whom want to learn the Neural Network’s math,
  • Data scientist whom want to use effectively Numpy array




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