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Projyot Srivastava
Projyot Srivastava

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Jan 30

Potential of ALM(Software-Test data) with Data Science

In this article, we mainly focus on - ‘How ALM data is used to leverage Data Science’. 🅰🅻🅼 🅳🅰🆃🅰 All the test data stored over years and decades(for giant companies) do wonders when merged with Data Science tools. Here we discuss a few major use cases already developed and regularly used in…

Software Testing

2 min read


Jun 20, 2021

Compress Large ML pickle files for deployment

When the model is trained and its serialization file is saved, sometimes the file size is large and there’s a problem with deployment(Heroku). As on GitHub there’s a limit for 25MB file size. To overcome this problem we could use bz2file library. It is used for reading and writing bzip2-compressed…

Machine Learning

2 min read

Compress Large ML pickle files for deployment
Compress Large ML pickle files for deployment

May 2, 2021

AWS S3 — boto3 Operations-Python

s3_client = boto3.client('s3', aws_access_key_id, aws_secret_access_key) s3_resource = boto3.resource('s3', aws_access_key_id, aws_secret_access_key) We’re importing boto3 library and other required libraries. …

AWS

2 min read

Projyot Srivastava

Projyot Srivastava

A wanderer with calculating probabilities.

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