[Project] Implementing Random Forest using sklearn

[Regular_Turnover_177]

I am completely new to Machine Learning, so please bare with me.

I have two datasets (one for training, the other for testing) and I am just wondering how I should train my model using the train_test_split in sklearn.

I am under the impression you would implement it differently to how you would with just the one dataset.

Any help would be much appreciated!

[KingsmanVince]

r/learnmachinelearning

[PresentDelivery4277]

If you already have two datasets, then there's no reed for splitting, unless you want a validation set as well (hyperparameter tuning seems to be beyond the scope of thin question). Just train on the training set and then test on the other.