Machine Learning, Data Science, Learning, Resources, University.
2D space) and visually place a line in the middle so that it is somewhat close to all the data points. We’d consider this the line that best fits our data. In terms of importance, this algorithm is useful for both prediction and statistical inference purposes. The second aspect in the applied space