Machine Learning, Data Science, Linear Regression, Gradient Descent, Numpy.
parameters and the original ones we find that they are almost identical, so we found what was the original line that generated the outputs! Now I can use this line to make predictions on new test data. Conclusion Models based on linear regression are relatively simple to interpret and very useful