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The choice of the algorithm is based on the objective. The predictions are based on the length and the width of the petal. Take the following example for this ml tutorial;
Besides, a dataset with a lack of diversity gives the machine a hard time.
The more we know, the more easily we can predict. Learning to code shouldn't be painful. For the expert, it took him probably some years to master the art of estimate the price of a house. The data is classified into three categories:
