Automates data preprocessing, model building, and hyperparameter tuning to efficiently identify the optimal model.
For Anyone Who Knows the Struggle Is Real...
We've all been there:
ValueError: Input contains NaN, infinity, or a value too large
When you realize you forgot to clean your data.
NotFittedError: This <estimator> instance is not fitted yet
Because you called .predict() before .fit()—again.
ValueError: X has 5 features, but StandardScaler is expecting 6
When your training and test datasets don't play nicely.
We've been through the same frustrations, so you don't have to.
Watch the video to see how ApX AutoML can help your workflow.