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Fundamentals of Machine Learning with Python

This course is designed for people who want to learn and build careers in the field of Machine Learning.

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Last updated 11/2023
English

Overview

Machine learning has become a key industry driver in the global job and opportunity market. In order to stay ahead in careers, machine learning is one of must have skillsets that tech professionals are acquiring as fast as possible. This course is designed by the leading academicians and industry experts to help people learn machine learning and its techniques using Python programming language with many examples and case studies.

Who this course is for

Anyone who wants to learn and build a solid career in artificial intelligence, machine learning, data science field.

What you'll learn

  1. Machine learning techniques
  2. Supervised machine learning
  3. Unsupervised machine learning
  4. Semi-supervised machine learning
  5. Reinforcement learning
  6. Linear regression with Python
  7. Solving classification problems with discriminant analysis with a case study
  8. Logistic regression with Python
  9. Decision tree with Python
  10. Solving unsupervised learning problems with cluster analysis
  11. K-means clustering with Python
  12. Hierarchical clustering
  13. Application of AI in cyber security
  14. Application of AI in FinTech

Requirements

You will need to have a computer or a mobile handset with an internet connection and a lot of aspirations to master machine learning.

Course Content

9 Sections 26 Lectures 3h 38m total length

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