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