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In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.
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Learn to perform 1) Twitter Sentiment Analysis using Spark Streaming, NiFi and Kafka, and 2) Build an Interactive Data Visualization for the analysis using Python Plotly.
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In this PySpark Big Data Project, you will gain hands-on experience working with advanced functionalities of PySpark Dataframes and Performance Optimization.
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To build a predictive model for churn in the Telecom industry with a feedback loop to help maintain the quality of results
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To understand and build an offer recommendation system for telecom company
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MLOps Project to Build and Deploy a Gaussian Process Time Series Model in Python on AWS
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