from autogluon.tabular import TabularPredictor, TabularDataset

# Load the dataset
train_df = TabularDataset('train.csv')

# Train the model with hyperparameter tuning
predictor = TabularPredictor(
    label='Target',
    eval_metric='accuracy',
    verbosity=2
).fit(
    train_data=train_df,
    presets=['best_quality'],
    hyperparameter_tune=True
)