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Deploy an Auto-Reply Twitter Handle that replies to query-related tweets with a trackable ticket ID generated based on the query category predicted using LSTM deep learning model.
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In this AWS Project, you will build an end-to-end log analytics solution to collect, ingest and process data. The processed data can be analysed to monitor the health of production systems on AWS.
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In this Python and MongoDB Project, you learn to do data analysis using PyMongo on MongoDB Atlas Cluster.
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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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Perform model deployment on GCP for resume parsing model using Streamlit App.
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MLOps Project to Build and Deploy a Gaussian Process Time Series Model in Python on AWS
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