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In this PySpark ETL Project, you will learn to build a data pipeline and perform ETL operations for Real-Time Data Processing
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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 spark project, you will use the real-world production logs from NASA Kennedy Space Center WWW server in Florida to perform scalable log analytics with Apache Spark, Python, and Kafka.
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In this deep learning project, you will learn how to perform various operations on the building block of PyTorch : Tensors.
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In this time series project, you will learn to build Autoregressive and Moving Average Time Series Models to forecast future readings, optimize performance, and harness the power of predictive analytics for sensor data.
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Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.
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Evolution of Data Science: From SAS to LLMs
Explore the evolution of data science from early SAS to cutting-edge LLMs and discover industry-transforming use cases with insights from an industry expert.
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
A comprehensive guide on LLama2 architecture, applications, fine-tuning, tokenization, and implementation in Python.
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