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This series of PySpark project will look at installing Apache Spark on the cluster and explore various data analysis tasks using PySpark for various big data and data science applications.
This video PySpark tutorial explains various transformations and actions that can be performed using PySpark with multiple examples.
In this machine learning project, we will implement Back-propagation Algorithm from scratch for classification problems.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.