Machine Learning Series: regression-2 (Data Visualization)

Previously we saw how to use linear regression to plot a straight line that could predict the co-relation between diabetes disease progression with body mass index and blood pressure. The dataset that we got from Scikit-learn was prepared for model building beforehand, in reality datasets do not come prepared like that for an effective model-building. We need to prepare the dataset and use visualizing techniques to actually transform dataset into something that could be used by our machine learning model effectively. The quality of the result the model produces heavily depends on the dataset that we use.