Data Science Hands-On Crash Course

Описание: Learn the basics of Data Science in the crash course. You will learn about the theory and code behind the most common algorithms used in data science.

✏️ Course created by Marco Peixeiro. Check out his channel:    / @datasciencewithmarco  

💻 Code: https://github.com/marcopeix/datascie...
💻 Datasets: https://github.com/marcopeix/datascie...

⭐️ Course Contents ⭐️
⌨️ (00:00) Introduction
⌨️ (03:06) Setup
⌨️ (04:29) Linear regression (theory)
⌨️ (09:29) Linear regression (Python)
⌨️ (20:59) Classification (theory)
⌨️ (30:16) Classifiaction (Python)
⌨️ (49:30) Resampling & regularization (theory)
⌨️ (56:09) Resampling and regularization (Python)
⌨️ (1:05:17) Decision trees (theory)
⌨️ (1:13:12) Decision trees (Python)
⌨️ (1:24:50) SVM (theory)
⌨️ (1:28:17) SVM (Python)
⌨️ (1:58:24) Unsupervised learning (theory)
⌨️ (2:06:54) Unsupervised learning (Python)
⌨️ (2:20:55) Conclusion

⭐️ Special thanks to our Champion supporters! ⭐️
🏆 Loc Do
🏆 Joseph C
🏆 DeezMaster

Become a supporter: https://www.youtube.com/freecodecamp/...

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp