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In this Big Data Project, you will learn to implement PySpark Partitioning Best Practices.
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PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
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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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Learn how to build a lead scoring model to identify high quality leads and maximize sales productivity by allocating resources effectively|ProjectPro
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Build a time series ARIMA model in Python to forecast the use of arrival rate density to support staffing decisions at call centres.
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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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Generative AI Application Landscape: All That You Need to Know
Explore the Generative AI Application Landscape with industry expert Rajdeep Arora to explore insights on its evolution, challenges, and prospects | ProjectPro
The ultimate guide for beginners to learn AIOps for IT operations excellence.
30+ NumPy Interview Questions and Answers for Data Analysts
Prepare for success in data analyst interviews with our curated list of 30+ NumPy Interview Questions and Answers. | ProjectPro
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