Logistic Regression - VISUALIZED!
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by Super User, 5 years ago
People talk about "sigmoid functions", "decision boundaries" and “Training”. But what exactly is happening behind the scenes? Let’s see for ourselves!
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Shoutout to 3blue1brown for creating his animation math engine “manim”. Give this a * on your way out: https://github.com/3b1b/manim
REFERENCES
[1] My previous video on Details of logistic regression (I’ll make another one soon): https://www.youtube.com/watch?v=YMJtsYIp4kg
[2] More on Generalized Linear Models: https://www.sagepub.com/sites/default/files/upm-binaries/21121_Chapter_15.pdf
[3] Logistic Regression & GLM: https://newonlinecourses.science.psu.edu/stat504/node/216/
[4] Overfitting problems in Logistic Regression: https://courses.cs.washington.edu/courses/cse446/17wi/slides/logisticregression-overfitting-SGD.pdf
[5] More info: http://byrneslab.net/classes/biol607/lectures/lecture_19_handout.pdf
Please SUBSCRIBE to me for more content!
Shoutout to 3blue1brown for creating his animation math engine “manim”. Give this a * on your way out: https://github.com/3b1b/manim
REFERENCES
[1] My previous video on Details of logistic regression (I’ll make another one soon): https://www.youtube.com/watch?v=YMJtsYIp4kg
[2] More on Generalized Linear Models: https://www.sagepub.com/sites/default/files/upm-binaries/21121_Chapter_15.pdf
[3] Logistic Regression & GLM: https://newonlinecourses.science.psu.edu/stat504/node/216/
[4] Overfitting problems in Logistic Regression: https://courses.cs.washington.edu/courses/cse446/17wi/slides/logisticregression-overfitting-SGD.pdf
[5] More info: http://byrneslab.net/classes/biol607/lectures/lecture_19_handout.pdf
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5 years ago
