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Machine Learning with Python

4.53 (517 Ratings)


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About this course

This comprehensive course on machine learning explains the basic statistics and programming that are required to work on machine learning problems. The course explains the basics of Python programming and the various packages required for machine learning. It also covers statistical distributions and explains the various types of data you will need to work with. The course then teaches you a type of machine learning called reinforcement learning. Reinforcement learning has applications in game development, smart assistants, recommendation systems, and in industries as varied as finance, oil and gas, etc. The course will explain reinforcement learning using a real world case study to ensure that learning is practical and hands-on.

Skills covered

  • check Python
  • check Statistics
  • check Reinforcement learning
  • check Machine learning

Course Syllabus

Introduction to Machine Learning with Python

  • play Introduction of python and its libraries
  • play Numpy and pandas
  • play Filtering and sorting
  • play Loops and functions
  • play Visulalization libraries like matplotlib and seaborn
  • play Descriptive statistics
  • play Understanding distributions and plots
  • play Types of data
  • play Introduction to reinforcement learning
  • play Q - learning
  • play Case study on smart taxi

Course Certificate

Get Machine Learning with Python course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate
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