Data Preprocessing

Think of data preprocessing like preparing ingredients for a recipe. You need to clean, chop, and mix them in the right way so the model can use them effectively. This step is crucial because it helps prevent errors and biases in the model's outputs, just like how using rotten ingredients can ruin a dish.