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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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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 SQL Project for Data Analysis, you will learn to analyse data using various SQL functions like ROW_NUMBER, RANK, DENSE_RANK, SUBSTR, INSTR, COALESCE and NVL.
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19 Projects
16 Projects
14 Projects
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The objective of this project is to compare the performance of BERT and DistilBERT models for building an efficient Question and Answering system. Using A/B testing approach, we explore the effectiveness and efficiency of both models and determine which one is better suited for Q&A tasks.
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Multilabel Classification Project to build a machine learning model that predicts the appropriate mode of transport for each shipment, using a transport dataset with 2000 unique products. The project explores and compares four different approaches to multilabel classification, including naive independent models, classifier chains, natively multilabel models, and multilabel to multiclass approaches.
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MLOps Project to Build and Deploy a Gaussian Process Time Series Model in Python on AWS
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