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Fundamentals of Machine Learning With Python By Spotle.ai

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

Description

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.

Goals

  • Machine learning techniques.
  • Supervised machine learning, Unsupervised machine learning, Semi-supervised machine learning, Reinforcement learning.
  • Linear regression with Python.
  • Logistic regression with Python.
  • Solving classification problems by discriminant analysis with a case study.
  • Decision tree with Python.
  • Solving unsupervised learning problems with cluster analysis.
  • K-means clustering with Python.
  • Hierarchical clustering.
  • Bonus - Application of AI in cyber security and FinTech.

Prerequisites

  • You will need to have a computer or a mobile handset with an internet connection.
  • Basic knowledge of statistics and Python programming language will be an advantage.
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Curriculum

  • Course Introduction
    01:21
    Preview
  • Supervised Machine Learning
    04:57
    Preview
  • Unsupervised Machine Learning
    05:22
  • Difference Between Supervised And Unsupervised Machine Learning
    02:38
  • Semi-supervised Machine Learning
    03:40
  • Reinforcement Learning
    06:54
    Preview
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Fundamentals of Machine Learning With Python By Spotle.ai
This Course Includes
  • 3.5 hours
  • 33 Lectures
  • Completion Certificate
  • Lifetime Access
  • 30-Days Money Back Guarantee

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