/IBM_Coursera_Machine_Learning_with_Python

In this module, you will learn about applications of Machine Learning in different fields such as health care, banking, telecommunication, and so on. You’ll get a general overview of Machine Learning topics such as supervised vs unsupervised learning, and the usage of each algorithm.

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

IBM_Coursera_Machine_Learning_with_Python

In this module, you will learn about applications of Machine Learning in different fields such as health care, banking, telecommunication, and so on. You’ll get a general overview of Machine Learning topics such as supervised vs unsupervised learning, and the usage of each algorithm. Also, you understand the advantage of using Python libraries for implementing Machine Learning models.

Learning objectives

  • Give examples of Machine Learning in various industries.
  • Outline the steps machine learning uses to solve problems.
  • Provide examples of various techniques used in machine learning.
  • Describe the Python libraries for Machine Learning.
  • Explain the differences between Supervised and Unsupervised algorithms.
  • Describe the capabilities of various algorithms.