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In this video, we will see how you can think of a logistic regression as a neuron. We will use insurance dataset as a sample and build a logistic regression. Logistic regression uses two step process for classification,
step 1: linear regression to find best fit line for given dataset
step 2: sigmoid or logit function to convert this line into values between 0 and 1
Using sigmoid function one can do a classification.
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