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Build a Real-Time Streaming Data Pipeline for an application that monitors oil wells using Apache Spark, HBase and Apache Phoenix .
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In this PySpark ETL Project, you will learn to build a data pipeline and perform ETL operations by integrating PySpark with Apache Kafka and AWS Redshift
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In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.
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In this machine learning project, you will learn to implement Regression Discontinuity Design Example in Python to determine the effect of age on Mortality Rate in Python.
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In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
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In this Machine Learning Project, you will learn how to build an end-to-end machine learning pipeline for predicting truck delays, addressing a major challenge in the logistics industry.
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Adam Optimizer Simplified for Beginners in ML
Unlock the power of Adam Optimizer: from theory, tutorials, to navigating limitations.
A comprehensive guide on LLama2 architecture, applications, fine-tuning, tokenization, and implementation in Python.
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.
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