Reviewing Your Data Science Projects - Episode 11(GITHUB CLEANING)

Reviewing Your Data Science Projects - Episode 11(GITHUB CLEANING) {Celebrity |Famous |}%title%{ Net Worth| Wealth| Profile}
Web Reference: REVIEWING definition: 1. present participle of review 2. to think or talk about something again, in order to make changes…. Learn more. The meaning of REVIEW is an act or process of carefully looking at or examining the quality, condition, etc., of something or someone. 1. To go over or restudy material: reviewing for a final exam. 2. To write critical reviews, especially for a newspaper or magazine.
YouTube Excerpt: In this video I review the data science projects in Shivam's github profile. Special thanks to him for submitting his work! Shivam is very active on github which is a good thing. Still, his github profile could use some maintenance. He has some repos that are empty and should be deleted. He could also benefit from improved naming conventions and project descriptions. One of my favorite projects that he does is he coded a Nerual Net from scratch. This is an awesome project that shows his genuine interest in how the data science models work. This isn't something that I look for, but it is definitely a positive to have. This isn't a data science project that would supplement for one done with actual data, but it is still very strong. For Shivam, I recommend that he build a portfolio website to showcase specific projects or use a github profile header like Import Data shows in this video: https://www.youtube.com/watch?v=0_RDoNJ1zGg Machine learning projects I recommend doing: At least 1 on regression, classification, clustering. An additional project on deep learning, computer vision, or NLP. #DataScience #KenJee β­• Subscribe: https://www.youtube.com/c/kenjee1?sub_confirmation=1 πŸŽ™ Listen to My Podcast: https://www.youtube.com/c/KensNearestNeighborsPodcast πŸ•Έ Check out My Website - https://kennethjee.com/ ✍️Sign up for My Newsletter - https://www.kennethjee.com/newsletter πŸ“š 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=kenjee MORE DATA SCIENCE CONTENT HERE: 🐀My Twitter - https://twitter.com/KenJee_DS πŸ‘” LinkedIn - https://www.linkedin.com/in/kenjee/ πŸ“ˆ Kaggle - https://www.kaggle.com/kenjee πŸ“‘ Medium Articles - https://medium.com/@kenneth.b.jee πŸ’» Github - https://github.com/PlayingNumbers πŸ€ My Sports Blog -https://www.playingnumbers.com Check These Videos Out Next! My Leaderboard Project: https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee 66 Days of Data: https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee How I Would Learn Data Science in 2021: https://www.youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee My Playlists Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs Project From Scratch: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO

In this video I review the data science projects in Shivam's github profile. Special thanks to him for submitting his work! Shivam is very active...

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