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Fundamentals Of Machine Learning With Python

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Requirements

  • 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.

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.

Spotle

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Spotle is an AI-powered career platform where you are automatically matched with the relevant opportunities and skills for the advancement of your career. Targeted at the highly mobile millennial and Gen-Z population, Spotle provides a dynamic and agile platform to discover career choices matched to your life goals.

Spotle as a company brings together a solid pool of machine learning, data science experts; The experts who have built the very complex Spotle Recommendation Engine that runs at the core of Spotle platform to match you to your most relevant career choices; The experts who are passionate about machine learning, data science; The experts who are keen on sharing their knowledge for the advancement of this field.

Spotle courses give you a unique opportunity to learn from and practice with the masters of this field.

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

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

 

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