Python Machine Learning 39. Regression-2: 以物件導向程式及套件實作迴歸模型 (recorded on )

Python Machine Learning 39. Regression-2: Training Regression models via Object-Oriented Programming and Scikit-Learn (recorded on 20191014) From "Sebastian Raschka, Python Machine Learning, Packt Publishing, 2017". Sebastian Raschka's Github for This Book: https://github.com/rasbt/python-machine-learning-book-2nd-edition 感謝林慧慈同學熱心幫忙 (Continued from "Python Machine Learning 38") Implementing an ordinary least squares linear regression model 00:00 - Solving regression for regression parameters with gradient descent 59:55 - Estimating coefficient of a regression model via scikit-learn Reference Video for Object-Oriented Adaptive Linear Neuron APIs: /watch/QjldoGW4LX04d (to be continued…)

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