English | Size: 946.32 MB
Genre: eLearning
Zero to One: Data Science to MLOps in One Hour.
Learn to frame a problem, then convert it into a data science project and present it to stakeholders. Later, move that prediction system to producting using MLOps
Topics include:
* Big Tech Misinformation and what can be done about it using Data Science.
* Doing MLOps with sklearn and Flask by creating Microservices
* Using sklearn, pandas, plotly, matplotlib, KMeans clustering, ELI5, shap and other libraries
* Putting code into production using the Python MLOps Cookbook found here:
https://github.com/noahgift/data-story-telling
nitroflare.com/view/C4BF8D86801D487/PRAGMATIC_ZERO_TO_ONE_DATA_SCIENCE_TO_MLOPS.part1.rar
nitroflare.com/view/2294087BA98676C/PRAGMATIC_ZERO_TO_ONE_DATA_SCIENCE_TO_MLOPS.part2.rar
nitroflare.com/view/C2C62FCBA33ABF8/PRAGMATIC_ZERO_TO_ONE_DATA_SCIENCE_TO_MLOPS.part3.rar
rapidgator.net/file/f3cc9393ced62d20d20d496ed95c10d2/PRAGMATIC_ZERO_TO_ONE_DATA_SCIENCE_TO_MLOPS.part1.rar.html
rapidgator.net/file/dc6a677b648623654d31aed7a95d42a1/PRAGMATIC_ZERO_TO_ONE_DATA_SCIENCE_TO_MLOPS.part2.rar.html
rapidgator.net/file/5187d049a42f9e8de1179d36a9ad5267/PRAGMATIC_ZERO_TO_ONE_DATA_SCIENCE_TO_MLOPS.part3.rar.html
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