Machine Learning – Step by Step (2020)

Machine Learning – Step by Step (2020)

A beginners guide to learn Machine Learning including Hands on from scratch.

What you’ll learn

  • Learn how to use NumPy to do fast mathematical calculations in machine learning.
  • Learn what is Machine Learning and Data Wrangling in machine learning.
  • Learn how to use scikit-learn for data-preprocessing in machine learning.
  • Learn different model selection and feature selections techniques in machine learning.
  • Learn about cluster analysis and anomaly detection in machine learning.
  • Learn about SVMs for classification, regression and outliers detection in machine learning.

Requirements

  • Basic knowledge of scripting and programming
  • Basic knowledge of python programming

Who this course is for:

  • Beginners who want to become a data scientist
  • Software developers who want to learn machine learning from scratch
  • Python developers who are interested to learn machine learning
  • Professionals who want to start their career in Machine Leaning
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