What is a neuron? | Deep Learning Tutorial 3 (Tensorflow2.0, Keras & Python)

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.

Next video: https://www.youtube.com/watch?v=ER2It2mIagI&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=4

Previous video: https://www.youtube.com/watch?v=yfsTZbwgMSE&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=2

Code for logistic regression: https://github.com/codebasics/py/blob/master/ML/7_logistic_reg/7_logistic_regression.ipynb

Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO

Prerequisites for this series:  
   1: Python tutorials (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0   
   2: Pandas tutorials(first 8 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
   3: Machine learning playlist (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw