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Real time data streaming using artificial intelligence
(Python using Jupyter notebook)
Get a dataset from Kaggle or use any other sites
Normalise, standardise and filter the data sets
Use Apache spark streaming or Kafka anything needed for real time data streaming
Store the data into mongoDB
Test the scripting and remove the corrupt data
For standardisation: for example date format can be different in all the datasets but we need it in standard format with single python script, just same as depends on the data fields
Attachment:- Project detail.zip
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To build the code for kaggle dataset date format can be different in all the data sets but its need it in standard format with single python script, just same as depends on the data fields and it is done in python 3 with the inbuilt libraries and using the packages which helps in performing the visualization part very easily.
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