You can download the lectures here. We will try to upload lectures prior to their corresponding classes.

  • Introduction to data science
    tl;dr:
    [slides]
  • Introduction to data science(2)
    tl;dr:
    [slides]
  • Data Visualization
    tl;dr:
    [slides]
  • Feature Engineering
    tl;dr:
    [slides]
  • Intro to Supervised learning
    tl;dr:
    [slides]
  • Supervised learning
    tl;dr:
    [slides]
  • Unsupervised learning
    tl;dr:
    [slides]
  • Decision Tree
    tl;dr:
    [slides]
  • Basic Neural Network
    tl;dr:
    [slides]
  • SVM
    tl;dr:
    [slides]
  • PCA & SVM
    tl;dr:
    [slides]
  • Hyperparameter Tuning
    tl;dr:
    [slides]
  • Recommendation Systems
    tl;dr:
    [slides]