worthnow

ai and ml for now from surprise import Dataset, Reader, SVD, accuracy from surprise.model_selection import train_test_split

Load dataset

data = Dataset.load_builtin('ml-100k') reader = Reader(rating_scale=(1, 5)) dataset = Dataset.load_from_df(data.raw_ratings, reader) trainset, testset = train_test_split(dataset, test_size=0.2)

Train model

model = SVD() model.fit(trainset)

Make predictions

predictions = model.test(testset) accuracy.rmse(predictions)