Course curriculum

  • 1
    Unsupervised ML models
    • Resources to be used in this course.
    • Setting the Context
    • Choosing Clustering Algorithms
    • Solving our Problem using k-means - Part 1
    • Solving our Problem using k-means - Part 2
    • Finding optimal K value
    • Analysis and Insights Based on the Plots
    • Introduction to Hierarchical Clustering Analysis (HCA)
    • Solving our Problem using Hierarchical Clustering
    • Introduction to DBSCAN Clustering
    • Solving our Problem using DBSCAN
    • Reading: Applications of Clustering in the Real World
    • Project