Linear Regression, Machine Learning, Deep Learning, Jupyter Notebook, Naem Azam.
line we need to find is of form y = m*x + c, but we’ll write it as:- θo and θ1 are the same as c and m we’ll call them parameters. Our job is to find the value of parameters such that our hypothesis, hθ(x), minimizes the RMSE value. RMSE is called Root Mean Squared Error and it’s calculated by the