SYLLABUS

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Machine Learning (Duration:-6 weeks)

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  • Supervised learning
  • Semi-Supervised learning
  • Unsupervised learning
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  • Least squares
  • Ridge regression
  • Lasso regression
  • K-nearest regression & classification
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  • Discriminative Algorithms (Linear & Quadratic)
  • Generative Algorithms
  • Support Vector Machines
  • Learning Theory
  • Regularization and model selection
  • Perceptron Algorithm
  • Boosting Algorithms
  • MCQ Questions (15 minutes)
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  • Random Forest
  • Neural Network
  • Deep Learning
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  • K-means Clustering
  • Associative Rule Mining
  • The EM Algorithm
  • Factor Analysis
  • Principal Components Analysis