Data Science, Linear Regression, Machine Learning, Python, Numpy.
predicted values for the training data using the current values of the coefficients and then calculate the mean squared error. We’ll also print the mean squared error value every 100 iterations. Step 4: Make predictions on new data Once the model is trained, we can use it to predict new data. We’ll