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Made in

English
Last updated at

Thu, 01-Jan-1970
Level
Beginner
Total lessons

10
Total duration

01:19:26 Hours
Number of reviews

0
Total enrolment

1
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Short description
This course provides an introduction to the fundamentals of Machine Learning. Students will learn the basics of supervised and unsupervised learning, as well as the principles of data mining and predictive analytics. Topics covered include linear and logistic regression, decision trees, support vector machines, neural networks, clustering, and ensemble methods. Students will also gain hands-on experience with popular machine learning libraries such as scikit-learn and TensorFlow.
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Requirements
  • Students should have a basic understanding of mathematics, statistics, and computer programming.
  • Course Materials: Textbook, lecture slides, and other course materials will be provided.
Outcomes
  • Understand the fundamentals of Machine Learning algorithms and their applications.
  • Develop an understanding of the various techniques used in Machine Learning.