Data Science, Linear Regression, Machine Learning, Python, Numpy.
do this by calculating the dot product of the test data and the optimized coefficients. We can then calculate the mean squared error for the test data to evaluate the model’s performance. Implementing linear regression using NumPy involves setting up the model parameters, preparing the data,