The answer
Yes, you can save the trained model using Joblib or Pickle and load it inside a Flask or FastAPI backend.
Yes, you can save the trained model using Joblib or Pickle and load it inside a Flask or FastAPI backend.
The Iris Flower or Titanic datasets are excellent, simple datasets widely used by beginners.
We train the model on training data and test it on unseen testing data to measure how well it generalizes to new data.
Overfitting occurs when a model learns the training data too well, including its noise, resulting in poor performance on new data.
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