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! ??
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