Generate Scatter Plots for Classifications Problems in Python and Scikit-learn Library - ML Tutor

Publicado el: 17 mayo 2022
en el canal de: Aleksandar Haber PhD

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#machinelearning #pythonprogramming #machinelearningbasics #classification #plotting #scipy #numpy #supportvectormachine #scikitlearn #scikit #scipy #pythonlibraries #mechanicalengineering #mechatronics #ai #artificialintelligence #pythontutorial

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In this video, we explain how to generate scatter plots for classification problems in Python and Scikit-learn library. We use the Scikit-learn Moons data set to explain scatter plots. Also, we use the NumPy where function, that is, we use np.where() function. The plots are generated by using the function plt.scatter() function.
Also, we explain how to save plots and how to denote different classes. This video tutorial is very useful for classification problems in Python and machine learning. Also, this video is useful for preparing data science tutorials.

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