PySpark is the API of Python to support the framework of Apache Spark. Apache Spark is the component of Hadoop Ecosystem, which is now getting very popular with the big data frameworks. Apache Spark is a very powerful component which provides real time stream processing, interactive frameworks, graphs processing, batch processing and in-memory processing in a very fast speed.

In python we can access the Apache Spark using PySpark, as the work in machine learning is increasing with the use of Apache Spark, you should know how to deal with this component. As python is one of the most simple programming languages, PySpark framework is also not difficult. So, let’s dive into PySpark to understand how it will help in Machine Learning.

PySpark in Machine Learning

To explain PySpark , I will use a real time machine learning problem, so that you can understand how to apply this library in your dataset while working on a real time machine learning tasks. You can download the dataset I will use in this article below.

#data science #logistic regression #machine learning #pyspark #python