ML with PySpark

Introduction 

• Introduction to distributed computing
• Overview of Big data environment

SPARK environment

• Spark Architecture 
• Resilient Distributed Datasets (RDDs)
• Spark DataFrame 
• Spark installation
• Spark configuration

Machine learning on SPARK

• Overview of machine learning
• PySpark SQL
• Pyspark MLlib
• Data pipeline 

Predictive analytics

• Linear Regression with Mlib

Classification with Mlib

• Logistic Regression Model
• Decision Tree Classifier
• Random Forest Classifier
• Gradient-Boosted Tree Classifier

Clustering 

• Clustering - use case
• KMeans clustering with Mlib