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:

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