Spark and Python for Big Data with PySpark

PySpark was set-up for this course using any one of the below mentioned methods -

1. Ubuntu + Spark + Python on Virtual Box
2. Amazon EC2 with Python and Spark
3. Databricks Notebook System
4. AWS EMR Notebook (Not Free)

Implemented Machine Learning Techniques using PySpark -

1. Linear Regression
2. Logistic Regression
3. Tree Methods i. Decision Trees ii. Random Forests iii. Gradient Boosted Trees
4. K-means Clustering
5. Recommender Systems
6. Natural Language Processing
7. Spark Streaming via Twitter