ML & AI Syllabus

  • The Fundamentals of Machine Learning
  • Python programming
  • End-to-End Machine Learning Project
  • Classification
  • Training Models
  • Support Vector Machines
  • Decision Trees
  • Ensemble Learning and Random Forests
  • Dimensionality Reduction
  • Neural Networks and Deep Learning
  • Introduction to Artificial Neural Networks
  • Training Deep Neural Nets
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Autoencoders
  • Reinforcement Learning

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