Machine Learning, Gradient Descent, Stochastic Gradient, Data Science, Learning Curve.
Regression import numpy as np # Define the dataset X = np.array([1, 2, 3, 4, 5]) y = np.array([2, 4, 5, 4, 5]) # Initialize parameters alpha = 0.01 # Learning rate epochs = 1000 # Number of iterations w = 0 # Model parameter # Perform Stochastic Gradient Descent for epoch in range(epochs): for i in