The Legend of Data - Ep.9 - Logistic Regression

Sorry for the video quality, lot’s of frames were dropped… I am still investigating why

Today we continue to explore how we can fit a model to predict the outcome given the data. In some cases, the outcome is either this or that, it’s a binary prediction and in this case, it cannot be fit with a straight line like we did last week. Therefore, we need logistic regression.

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You can get the slide deck here. The notebook that I used can be found here.

See more of my talks on YouTube.

After having a career as a Data Scientist and Developer Advocate, Cheuk dedicated her work to the open-source community. She has co-founded Humble Data, a beginner Python workshop that has been happening around the world. She has served the EuroPython Society board for two years and is now a fellow and director of the Python Software Foundation.