PySpark and AWS: Master Big Data with PySpark and AWS - Train and Test Data

The video tutorial explains the process of splitting data into training and test sets, a common practice in AI algorithms like recommender systems. It demonstrates how to use the random split function in Python to divide data into 80% for training and 20% for testing. The tutorial also covers Python notation for data splitting and shows how to count rows in the resulting data frames.

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