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Supervised Machine Learning with Python (Course VI)

Supervised Machine Learning with Python (Course VI)

Supervised Machine Learning with Python (Course VI)

Welcome to this course on Supervised Machine Learning with Python.

In this course, you will be introduced to the amazing field of Machine Learning and you will learn how to build your Machine Learning models for two different kinds of tasks: regression and classification.

Objectives of the course

The learning objectives of the course are set out as follows:

  • Learn how to create dummy data using Numpy and Pandas
  • Learn about what is Machine Learning and why it is needed
  • Learn how to build various kinds of regression models
  • Learn how to build various kinds of classification models
  • Learn how to split data and evaluate Machine Learning models

You can expect to have all of these objectives met by the time you reach the end of this course.

Pre-requisites for the course

For the purpose of this course, we will be using Python. Python is a perfect choice for beginners as well as professionals working in the field of Machine Learning and Data Science due to its simplicity and wide range of library support.

If this is your first time working on Python, it may be hard for you to effectively grasp all the concepts. Therefore, the following pre-requisites are required for you to get the best out of the course:

  • Solid understanding of the Python programming language
  • Familiarity with NumPy, Pandas, and Matplotlib

If you do not satisfy the above pre-requisites, don’t worry! You can always come back later to this course once you are ready.

Ready to add a fundamental skill to your data science portfolio? See you in the course!

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Kharpann was founded by a team of mathematicians, programmers and machine learning/artificial engineers with a vision to help businesses find their data science team faster and to help them grow with their own data.
Price Free
Instructor Kharpann
Duration 2 weeks
Lectures 19
Enrolled 8674 students
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