Doing Data Analysis on Sensitive Data (ft. Oblivious)
π Check out Antigranular competition & win cash prizes up to β¬5,500 π https://www.antigranular.com/competitions π Sample notebook working with sensitive private data π https://shorturl.at/yKX89 π Master Python and Build Awesome AI Projects π https://python-course-earlybird.framer.website/?&utm_source=sensdata Receive top data science/ AI insights in your inbox π https://thu-vu.ck.page/49c5ee08f6 Hi everyone, in today's video we'll be talking about working with private and sensitive data. A lot of times data scientists do not work on the most valuable and "cool" datasets, simply because these datasets contain too sensitive individual information. I have encountered this many times at my work, and it's frustrating! In this video, I will give you a brief introduction to different techniques for handling senstive data, and how to implement them using Antigranular platform. Thank you for watching! π π TIMESTAMPS ================================ 0:00 - Intro 1:00 - Antigranular/ Oblivious (sponsor) 1:22 - Overview of privacy-enhancing technologies 4:28 - Antigranular & competition π 5:58 - What is Differential Privacy? 6:51 - Sample notebook walkthrough 7:49 - What is Secure Enclave? 8:34 - Sample notebook walkthrough (cont.) 11:07 - Training a regression model on private data 11:46 - Outro π©π»βπ» COURSES & RESOURCES ================================ π Google Advanced Data Analytics Certificate π https://imp.i384100.net/anK9zZ π Google Data Analytics Certificate π https://imp.i384100.net/15v9y6 π Learn SQL Basics for Data Science Specialization π https://imp.i384100.net/AovPnJ π Excel Skills for Business π https://coursera.pxf.io/doPaoy π Machine Learning Specialization π https://imp.i384100.net/RyjykN π Data Visualization with Tableau Specialization πhttps://imp.i384100.net/n15XWR π Deep Learning Specialization π https://imp.i384100.net/zavBA0 π Mathematics for Machine Learning and Data Science Specialization π https://imp.i384100.net/LXK0gj π Applied Data Science with Python π https://imp.i384100.net/gbxOqv ππ»ββοΈ LET'S CONNECT! ================================ π€ Join my Discord server: https://discord.gg/SK7ZC5XhcS π© Newsletter: https://thu-vu.ck.page/profile β Medium: https://medium.com/@vuthihienthu.ueb π 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. Edited with Gling: https://gling.ai #dataprivacy #datascience #ThuVu #dataanalytics