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A Practical Guide to Machine Learning with Python

Getting Started

Explore how to code basic machine learning models using Python in this introductory lesson. Understand essential algorithms such as linear regression, logistic regression, and support vector machines, while building a solid foundation in machine learning coding practices suitable for beginners.

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Quick overview

The core of this course is to teach you how to code basic MLMachine Learning models. The content is designed for beginners with general knowledge of machine learning, including common algorithms like linear regression, logistic regression, support vector machines and decision trees. You will get a solid foundation in machine learning algorithms through this course, even if you are totally new to machine learning or just starting in this field.

Prerequisites

The ideal skill set for a machine learning developer includes:

  • Coding (Python, R, SPSS, SAS, etc.)
  • Data management
  • Statistics
  • Mathematics

Optional areas of expertise include:

  • Data visualization
  • Big data management
  • Distributed computing architecture

Note: This course covers the vital coding part of machine learning using Python. Therefore, the only prerequisite is foundational knowledge of Python programming.