Machine Learning, Data Science, Data Scientist, Mlops, Algorithms.
three nearest neighbors of a data point to make a prediction. The model is trained (fitted) with the training data. During training, it doesn’t build a traditional model but memorizes the dataset. 2. Predict: The trained KNN model is then used to predict the class labels (types of wine) of the test