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In this PySpark project, you will learn about fundamental Spark architectural concepts like Spark Sessions, Transformation, Actions, and Optimization Techniques using PySpark
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In this GCP project, you will learn to build and deploy a fully-managed(serverless) event-driven data pipeline on GCP using services like Cloud Composer, Google Cloud Storage (GCS), Pub-Sub, Cloud Functions, BigQuery, BigTable
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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.
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Credit Card Fraud Detection Project - Build an Isolation Forest Model and Local Outlier Factor (LOF) in Python to identify fraudulent credit card transactions.
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Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
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In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
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