K Fold Cross Validation
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Search Global Minimum while addressing Bias-Variance Trade-off
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Learn what cross-validation is - a fundamental technique for building generalizable models
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Let’s say that you have trained a machine learning model. Now, you need to find…
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Training, validation and test sets explained in plain English
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Addressing the problem of overfitting – Part 1
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Model selection/types to increase result reliability with python implementation in one view.
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NHL Equivalency and Prospect Projection Models: Building the NHL Equivalency Model (Part 2)
Data ScienceA Few Minor Updates on an Established Framework
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This article is a comprehensive overview of four (4) model validation strategies in order to…
5 min read