KAGGLE COURSE: CHECKED 🏆APUS Digital
In the Intro to Machine Learning course, you can learn how to:
Step 1: Gather the data.
Step 2: Prepare the data – Deal with missing values and categorical data. (Feature engineering is covered in a separate course.)
Step 4: Train the model – Fit decision trees and random forests to patterns in training data.
Step 5: Evaluate the model – Use a validation set to assess how well a trained model performs on unseen data.
Step 6: Tune parameters – Tune parameters to get better performance from XGBoost models.
Step 7: Get predictions – Generate predictions with a trained model and submit your results to a Kaggle competition.
ARTIFICIAL INTELLIGENCE INSIDE 🚀
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Inovação em primeiro lugar!