In this video, I review one of Isac's data science projects and his resume. He has an incredibly unique project where he analyzes his own Spotify data to try to predict which songs he would like. This is a great example of a unique project that employers would be looking for.
Project
- Include details into the dataset. Employers want to know how you collected the data and some insights about the features if they are not clear
- Explain decision points in your analysis. Isac does this well when he explains why he uses 15 listens as a threshold for a liked song
- Explain your evaluation criteria. Isac weights training time very heavily in this analysis, he should explain why this is important if it is relevant
Resume
- Put skills at the top
- Start with outcomes and follow up with methods and tools used
#DataScience #KenJee
#DataScience #KenJee
⭕ Subscribe: [ Ссылка ]
🎙 Listen to My Podcast: [ Ссылка ]
🕸 Check out My Website - [ Ссылка ]
✍️Sign up for My Newsletter - [ Ссылка ]
📚 Books and Products I use - [ Ссылка ] (affiliate link)
Partners & Affiliates
🌟 365 Data Science - Courses ( 57% Annual Discount): [ Ссылка ]
🌟 Interview Query - [ Ссылка ]
MORE DATA SCIENCE CONTENT HERE:
🐤My Twitter - [ Ссылка ]
👔 LinkedIn - [ Ссылка ]
📈 Kaggle - [ Ссылка ]
📑 Medium Articles - [ Ссылка ]
💻 Github - [ Ссылка ]
🏀 My Sports Blog -[ Ссылка ]
Check These Videos Out Next!
My Leaderboard Project: [ Ссылка ]
66 Days of Data: [ Ссылка ]
How I Would Learn Data Science in 2021: [ Ссылка ]
My Playlists
Data Science Beginners: [ Ссылка ]
Project From Scratch: [ Ссылка ]
Kaggle Projects: [ Ссылка ]
![](https://i.ytimg.com/vi/B1g_yMKpdwo/maxresdefault.jpg)