Course curriculum

  • 1

    Machine Learning - Mathematics and Python Implementation

    • Introduction to the Course

    • 110101 - Introduction to ML

  • 2

    Python Programming for Machine Learning

    • Lec 01 - Intro

    • Lec 02 - Setting up Envmt - Part 01
  • 3

    Linear Algebra for Emerging Pathways

    • Introduction to Linear Algebra

    • Basic Operations on Vectors

    • Lec 01 - Intro
  • 4

    Probability for Emerging Pathways

    • Introduction to the Course

    • History of Probability
  • 5

    Statistics for Emerging Pathways

    • Introduction to Statistics and Basic Terminology

    • Measures of Location - Mean Median Mode
  • 6

    Calculus for Emerging Pathways

    • Course Outline

    • Functions