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: https://www.youtube.com/channel/UC-0lpiwlftqwC7znCcF83qg 💻 Code: https://github.com/marcopeix/datasciencewithmarco 💻 Datasets: https://github.com/marcopeix/datasciencewithmarco/tree/master/data ⭐️ 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/join -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news