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In this video, I review Talha's data science github portfolio. He as quite a few deep learning projects in it. I go through the high level portfolio and drill down into a couple specific projects. Takeaways Great use of tables and graphs to show value You should make sure to add comments at any decision point in your analysis Readme's should include all relevant info about the data and the nature of the project Pin projects or use a landing page to showcase your most relevant projects Thanks again to Talha for submitting his work! #DataScience #KenJee ⭕ Subscribe: https://www.youtube.com/c/kenjee1?sub... 🎙 Listen to My Podcast: / kensnearestneighborspodcast 🕸 Check out My Website - https://kennethjee.com/ ✍️Sign up for My Newsletter - https://www.kennethjee.com/newsletter 📚 Books and Products I use - https://www.amazon.com/shop/kenjee (affiliate link) Partners & Affiliates 🌟 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY 🌟 Interview Query - https://www.interviewquery.com/?ref=k... MORE DATA SCIENCE CONTENT HERE: 🐤My Twitter - / kenjee_ds 👔 LinkedIn - / kenjee 📈 Kaggle - https://www.kaggle.com/kenjee 📑 Medium Articles - / kenneth.b.jee 💻 Github - https://github.com/PlayingNumbers 🏀 My Sports Blog -https://www.playingnumbers.com Check These Videos Out Next! My Leaderboard Project: • I Built the FIRST EVER YouTube Subscriber ... 66 Days of Data: • What is the #66DaysOfData? How I Would Learn Data Science in 2021: • How I Would Learn Data Science in 2021 (Wh... My Playlists Data Science Beginners: • Data Science Beginners Project From Scratch: • Data Science Project from Scratch - Part 1... Kaggle Projects: • Kaggle Projects