Deep Dive into Spark MLlib

Learning Objectives: Implement various algorithms supported by MLlib such as Linear Regression, Decision Tree, Random Forest and many more.
Topics:
  • Supervised Learning – Linear Regression, Logistic Regression, Decision Tree, Random Forest
  • Unsupervised Learning – K-Means Clustering & How It Works with MLlib
  • Analysis on US Election Data using MLlib (K-Means)
 
Hands-on:
  • Machine Learning MLlib
  • K- Means Clustering
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest