Data Science Crash Course

Overview of the reality of Data Science and Machine Learning. Rather than going straight into a specific method such as linear regression, and so on, The idea here, behind this somewhat experimental course, is to give an overview of the various methods in use. Basic Machine Learning algorithms, ML methods, K-means, decision trees and random forests, Spark MLLib, and Lab overview… see the video

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