Gradient Descent: The Batch Update

Update the parameters using the Batch Gradient Descent.

Exploratory data analysis

We have two features X1 and X2 and a label. Each feature has ten data points and the label is 0 or 1. Make a decision boundary that separates the two classes. Let’s look at the dataset.Dataset

📝 Note: Remember, we can only apply the perceptron algorithm if the data is linearly separable. For this, we need to draw the points on the graph to visualize the data.

Draw the data points on the graphEDA.

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