Looking to build an awesome data science portfolio? Here are the TOP 15 data science projects with source code to work on Check out the link now
@avikumart_
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ML in Production: Beyond Notebooks to Deployment Challenges
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Machine learning is hard, there's no doubt about that But Machine learning in production is much harder than ML in notebooks. Developing the ML pipeline to deployment and then maintaining consistent quality prediction building a retraining pipeline becomes more complicated…
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Streamlit UI Balloons Feature One Line Code
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Did you know? @streamlit has a feature to create celebratory balloons on the UI side🤔🎈
— Avi Kumar Talaviya (@avikumart_) 10 novembre 2022
…and all these using just one line of code.🤯🙌
Check this small video clip (can't share the app link as its part of the project)
Ps: More streamlit apps are coming soon…✌ pic.twitter.com/d4FHfzg8hLDid you know? @streamlit has a feature to create celebratory balloons on the UI side …and all these using just one line of code. Check this small video clip (can't share the app link as its part of the project) Ps: More streamlit apps are coming soon…
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Top 10 Most Recommended Deep Learning Books
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Wondering what are the top 10 most recommended DL books out there? Check out the link below to find the answer https://
mostrecommendedbooks.com/lists/best-dee
p-learning-books
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SQLBolt: Learn SQL Queries Effectively Online
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The best website to learn and practice SQL queries on the go No one can beat sqlbolt when it comes to learning SQL from scratch Check the website to learn SQL now! https://
sqlbolt.com -
Essential Python Learning Guide for All Applications
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The best guide for learning python for all kinds of applications Must have resource if you use python for majority of your task Save for your future reference https://
docs.python-guide.org -
Reverse Engineering Systems: Breaking Down to Rebuild Better
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Breaking down already built projects, and systems into smaller components and learning them individually to understand how it was engineered then redesign and build it again
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Break Down Projects Into Components Learn Principles Rebuild
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True, break the projects into smaller components, learn each components, understand the principles and build back again
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Reverse Engineering: Underrated ML Learning Method
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Reverse engineering is the most underrated way to learn machine learning among the Data and ML community Agree??