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. 🔖 Hashtags 🔖 #whatisneuron #neuralnetwork #neuron #deeplearning #deeplearningtensorflow #deeplearningtutorialpython #deeplearningtutorial