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๐— ๐—Ÿ ๐—ฝ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜, encompassing key topics like ๐——๐—ฎ๐—ด๐˜€๐—ต๐˜‚b and ๐— ๐—Ÿ๐—ณ๐—น๐—ผ๐˜„ for version control, ๐— ๐—Ÿ๐—ข๐—ฝ๐˜€ practices for efficient deployment, and robust ๐—–๐—œ/๐—–๐—— ๐—ฝ๐—ถ๐—ฝ๐—ฒ๐—น๐—ถ๐—ป๐—ฒ setup. Showcased ๐—”๐—ช๐—ฆ ๐—ฑ๐—ฒ๐—ฝ๐—น๐—ผ๐˜†๐—บ๐—ฒ๐—ป๐˜ with the help of ๐—š๐—ถ๐˜๐—›๐˜‚๐—ฏ ๐—”๐—ฐ๐˜๐—ถ๐—ผ๐—ป prowess for seamless machine learning application integration.

Python 36.24% Jupyter Notebook 63.76%
aws-deployment dagshub githubaction-workflow mlflow mlops ec2-instance

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