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Video Version: https://youtu.be/zgC8fjF0Now
\\nSubscribe here to the newsletter: https://tinyletter.com/sanyambhutani
\\nIn this episode, Sanyam Bhutani interviews Abhishek Thakur for the 2nd time!
\\nThey talk about his book: Approaching (Almost) any ML Problem, Abhishek's process to creating Videos and his process to writing the book.
\\nThey also discuss on how to effectively approach Kaggle and Abhishek shares many advices that are applicable to Kaggle.
\\nLinks:
\\nPrevious Interview: https://www.youtube.com/watch?v=Ezbo57Z33N8
\\nFollow:
\\nAbhishek Thakur
\\nTwitter: https://twitter.com/abhi1thakur
\\nYouTube: https://www.youtube.com/channel/UCBPRJjIWfyNG4X-CRbnv78A
\\nSanyam Bhutani:
\\nhttps://twitter.com/bhutanisanyam1
\\nBlog: sanyambhutani.com
\\nAbout:
\\nhttps://sanyambhutani.com/tag/chaitimedatascience/
\\nA show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.
\\nYou can expect weekly episodes every available as Video, Podcast, and blogposts.
\\nIf you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
\\nIntro track:
\\nFlow by LiQWYD https://soundcloud.com/liqwyd
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