Mapper and Reducer purpose is to detect and replace null values by column average.
The model is built in PySpark using Decision Tree Classifiers.
Building a prediction model for a huge dataset using Big Data tech like Kylin and Spark.
Jupyter NotebookGPL-3.0
Mapper and Reducer purpose is to detect and replace null values by column average.
The model is built in PySpark using Decision Tree Classifiers.