Course curriculum

  • 1

    Introduction to Machine Learning

    • 1.Introduction to the course
    • 2.Human learning and it's types
    • 3.Machine learning and it's types
    • 4.Process of Machine Learning
    • 5.Well-posed learning problem
    • 6.Applications of machine learning
    • 7.QUIZ
  • 2

    Data pre-processing

    • 8.Basic data types
    • 9.Data exploration
    • 10.Data exploration (continued)
    • 11.Data issues and remediation
    • 12.Issues in machine learning
    • 13.QUIZ
  • 3

    Introduction to Python

    • 14.Getting started with Python
    • 15.Basic Python commands
    • 16.Basic Python commands (continued)
    • 17.Functions
    • 18.QUIZ
    • 19.Operators
    • 20.Conditional (IF) Statement
    • 21.FOR Loops
    • 22.WHILE Loops
    • 23.QUIZ
    • 24.Libraries - os, numpy, pandas, matplotlib
    • 25.numpy
    • 26.pandas
    • 27.Data exploration using matplotlib
    • 28.Data issues and remediation
    • 29.QUIZ
  • 4

    Modelling and Evaluation

    • 30.What is a model
    • 31.Selecting a model
    • 32.Training model - Holdout Method
    • 33.Training model - k-fold cross-validation
    • 34.Training model - bootstrap sampling
    • 35.Model representation and interpretability - under-fitting, over-fitting
    • 36.QUIZ
    • 37.Model performance evaluation - Classification
    • 38.Model performance evaluation - Regression
    • 39.Model performance evaluation - Clustering
    • 40.Model performance tuning
    • 41.QUIZ
  • 5

    Feature Engineering

    • 42.Basics of feature engineering
    • 43.Feature Construction
    • 44.Feature extraction
    • 45. Feature selection 1
    • 46.Feature selection 2
    • 47.Feature selection 3
  • 6

    Classification

    • 48.supervised learning classification 1
    • 49.supervised learning classification 2
    • 50.supervised learning classification 3
    • 51.supervised learning classification 4
    • 52.supervised learning classification 5
    • 53.supervised learning classification 6
  • 7

    Quiz

    • Question Paper - Quiz 1
    • ANSWER BOOKLET : QUIZ 1 (For questions, refer to Question Paper - Quiz 1)