Syllabus

  • Introduction to Machine Learning
  • Supervised learning
  • Regression
  • Introduction to python, NLTK, SK-Learn
  • Regression using python and SK-Learn (Lab)
  • Classification
  • Classification using python and SK-Learn (Lab)
  • Unsupervised learning
  • Clustering using SK-Learn
  • Basics of Neural Networks using SK-Learn
  • Introduction to Deep Learning