The Best Jupyterlab Extension That You Didn't Know Existed!

From the creator

πŸ”₯ Receive top data science/ AI insights in your inbox πŸ‘‰ https://thu-vu.ck.page/49c5ee08f6 πŸ‘©πŸ»β€πŸ’» Link extension (MakinaRocks) πŸ‘‰ https://bit.ly/3KDX0oW πŸ“Ί Link Demo Video πŸ‘‰ https://www.youtube.com/watch?v=uM2uPG-1eQQ πŸ”— Git repo for this neural style transfer project πŸ‘‰ https://github.com/thu-vu92/neural-style-transfer πŸ€– Deep Learning Specialization πŸ‘‰ https://imp.i384100.net/zavBA0 Hey data nerds πŸ‘‹, greetings from my hometown in Vietnam!! JupyterLab is a great tool for data science, but it has its own limitations.. big ones πŸ˜….. Due to the fact that you can execute cells in different orders, it's easy to make mistakes and mess up the output. From my experience, it could be a big challenge to use JupyterLab in a complex data science project. In this video, I'm sharing with you about Link, a JupyterLab extension that helps us easily create pipelines in JupyterLab and share them with other people. This extension helps address the reproducibility issue of JupyterLab, and makes it easy to share results. While walking you through the how-to of this extension, I also tried to give a brief introduction to neural style transfer algorithm, which is what I implemented in this sample notebook. Let me know what you think about this extension and whether you would consider using it in your projects. Thank you for watching and have a great day! πŸ€— πŸ”‘ TIMESTAMPS ================================ 0:00 - Intro 0:57 - Link extension for JupyterLab 2:25 - Installing Link 3:23 - Overview of the notebook & Neural style transfer algo. 5:24 - Creating pipeline using Link 10:20 - Final pipeline & exporting cache 10:47 - Additional functionalities πŸ‘©πŸ»β€πŸ’» COURSES & RESOURCES β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ“– Google Advanced Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/anK9zZ πŸ“– Google Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/15v9y6 πŸ“– Learn SQL Basics for Data Science Specialization πŸ‘‰ https://imp.i384100.net/AovPnJ πŸ“– Excel Skills for Business πŸ‘‰ https://coursera.pxf.io/doPaoy πŸ“– Machine Learning Specialization πŸ‘‰ https://imp.i384100.net/RyjykN πŸ“– Data Visualization with Tableau Specialization πŸ‘‰https://imp.i384100.net/n15XWR πŸ“– Deep Learning Specialization πŸ‘‰ https://imp.i384100.net/zavBA0 πŸ“– Mathematics for Machine Learning and Data Science Specialization πŸ‘‰ https://imp.i384100.net/LXK0gj πŸ“– Applied Data Science with Python πŸ‘‰ https://imp.i384100.net/gbxOqv πŸ™‹πŸ»β€β™€οΈ LET'S CONNECT! β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ€“ Join my Discord server: https://discord.gg/SK7ZC5XhcS πŸ“© Newsletter: https://thu-vu.ck.page/profile ✍ Medium: https://medium.com/@vuthihienthu.ueb πŸ”— All links: https://linktr.ee/thuvuanalytics As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on the links above. By using the links you help support this channel at no cost for you. #Jupyterlab #machinelearning #Datanerd #DataAnalysis #datascience #ThuVu #dataanalytics

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