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Data Science Portfolio Tips | Discussion with Ken Jee, Krish Naik, Codebasics and Data Professor

In this video, I had a panel discussion about building data science portfolio with Data Science YouTube influencers Ken Jee, Krish Naik, Dhaval (codebasics). All four of us come from different countries and we bring unique perspectives on the topics discussed.

🌟 Buy me a coffee: https://www.buymeacoffee.com/dataprofessor

⭕ Please also subscribe to their YouTube channels:
✅ Ken Jee: https://www.youtube.com/channel/UCiT9RITQ9PW6BhXK0y2jaeg
✅ Krish Naik: https://www.youtube.com/user/krishnaik06
✅ codebasics: https://www.youtube.com/channel/UCh9nVJoWXmFb7sLApWGcLPQ
✅ Data Professor: https://www.youtube.com/dataprofessor

⭕ Timeline:
00:00 Introduction
2:37 How can doing projects help in learning data science
7:43 How can doing data science projects benefit freshers in their job search
12:48 Important aspects to consider when creating a data science project? Quality versus Quantity
24:38 From all the data science projects that you have done so far, What is your favorite one?
38:43 Where do you go for data?
49:29 What's your favorite machine learning algorithm?
57:16 Learning Deep Learning
1:03:57 What IDE or coding environment do you use?

⭕ Playlist:
Check out our other videos in the following playlists.
✅ Data Science 101: https://bit.ly/dataprofessor-ds101
✅ Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-podcast
✅ Data Science Virtual Internship: https://bit.ly/dataprofessor-internship
✅ Bioinformatics: http://bit.ly/dataprofessor-bioinformatics
✅ Data Science Toolbox: https://bit.ly/dataprofessor-datasciencetoolbox
✅ Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit
✅ Shiny (Web App in R): https://bit.ly/dataprofessor-shiny
✅ Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-colab
✅ Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas
✅ Python Data Science Project: https://bit.ly/dataprofessor-python-ds
✅ R Data Science Project: https://bit.ly/dataprofessor-r-ds

⭕ Subscribe:
If you're new here, it would mean the world to me if you would consider subscribing to this channel.
✅ Subscribe: https://www.youtube.com/dataprofessor?sub_confirmation=1

⭕ Recommended Tools:
Kite is a FREE AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite and I love it!
✅ Check out Kite: https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=dataprofessor&utm_content=description-only

⭕ Recommended Books:
✅ Hands-On Machine Learning with Scikit-Learn : https://amzn.to/3hTKuTt
✅ Data Science from Scratch : https://amzn.to/3fO0JiZ
✅ Python Data Science Handbook : https://amzn.to/37Tvf8n
✅ R for Data Science : https://amzn.to/2YCPcgW
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: https://amzn.to/33jTdcv
✅ AI Superpowers: China, Silicon Valley, and the New World Order: https://amzn.to/3nghGrd

⭕ Stock photos, graphics and videos used on this channel:
✅ https://1.envato.market/c/2346717/628379/4662

⭕ Follow us:
✅ Medium: http://bit.ly/chanin-medium
✅ FaceBook: http://facebook.com/dataprofessor/
✅ Website: http://dataprofessor.org/ (Under construction)
✅ Twitter: https://twitter.com/thedataprof/
✅ Instagram: https://www.instagram.com/data.professor/
✅ LinkedIn: https://www.linkedin.com/in/chanin-nantasenamat/
✅ GitHub 1: https://github.com/dataprofessor/
✅ GitHub 2: https://github.com/chaninlab/

⭕ Disclaimer:
Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents.

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Видео Data Science Portfolio Tips | Discussion with Ken Jee, Krish Naik, Codebasics and Data Professor канала Data Professor
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21 июня 2020 г. 19:30:13
01:06:01
Яндекс.Метрика