Saving and loading the model Let’s take a moment to recap what we’ve accomplished so far. Before we can save a model, the crucial first step is training it. I’ve extensively covered model training in previous articles, where we explored various techniques, including K-Fold cross-validation. Below, I’ve included all the code necessary for model training.Continue reading “ML Zoomcamp 2023 – Deploying Machine Learning Models– Part 2”
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ML Zoomcamp 2023 – Evaluation metrics for classification– Part 7
Cross-Validation Evaluating the same model on different subsets of data In this article, I’ll discuss parameter tuning, which involves selecting the optimal parameter. Typically, we start by splitting our entire dataset into three parts: training, validation, and testing. We utilize the validation dataset to determine the best parameter for the formula g(xi), essentially finding theContinue reading “ML Zoomcamp 2023 – Evaluation metrics for classification– Part 7”
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