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COVID-19 Data Analysis Project using Python and AWS to build an automated data pipeline that processes COVID-19 data from Johns Hopkins University and generates interactive dashboards to provide insights into the pandemic for public health officials, researchers, and the general public.
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In this data analytics project, you will use AWS Neptune graph database and Gremlin query language to analyse various performance metrics of flights.
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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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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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Machine Learning Linear Regression Project for Beginners in Python to Build a Multiple Linear Regression Model on Soccer Player Dataset.
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In this PyCaret Project, you will build a customer segmentation model with PyCaret and deploy the machine learning application using Streamlit.
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