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Machine Learning Algorithms

Description

In this course you will:
a) understand the naïve Bayesian algorithm.
b) understand the Support Vector Machine algorithm.
c) understand the Decision Tree algorithm.
d) understand the Clustering.
Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Tags

Syllabus

  • Naïve Bayes
  • Support Vector Machine
  • Decision Tree
  • Clustering

  • Type
    Online Courses
  • Provider
    Coursera

In this course you will:
a) understand the naïve Bayesian algorithm.
b) understand the Support Vector Machine algorithm.
c) understand the Decision Tree algorithm.
d) understand the Clustering.
Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

  • Naïve Bayes
  • Support Vector Machine
  • Decision Tree
  • Clustering

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