In this video we will be implementing Logistic Regression / Sigmoid model (Single variable) from scratch in python.
We will be using the formulas for gradient descent which we had derived in the previous video to train this model and visualize how the model changes itself during training to fit the data.
Notebook Link: https://colab.research.google.com/dri...
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