Now let's see how to groom your data -- it means making it ready so that you can feed it into your computers to get the most accurate results, this step has a technical name -- Data Preprocessing. Data Preprocessing is the modification of raw data into a more suitable form for modeling. It is used in predictive modeling projects, such as classification or regression. Machine-learning algorithms operate on numeric data. It takes numbers as input and predicts a number as output.

Now let's see how to groom our data -mean making it ready so that we can feed it into our computers to get the most accurate results, this step has got a technical name -- Data Preprocessing. Data preprocessing is the modification of raw data into a more suitable form for modeling. It is used on a predictive modeling project, such as classification or regression. Machine-learning algorithms operate on numeric data. It takes numbers as input and predicts a number as output.