Generate Scatter Plots for Classifications Problems in Python and Scikit-learn Library - ML Tutor
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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.
On this page of the site you can watch the video online Generate Scatter Plots for Classifications Problems in Python and Scikit-learn Library - ML Tutor with a duration of hours minute second in good quality, which was uploaded by the user Aleksandar Haber PhD 17 May 2022, share the link with friends and acquaintances, this video has already been watched 2,124 times on youtube and it was liked by 25 viewers. Enjoy your viewing!
