204.5.1 Neural Networks : A Recap of Logistic Regression
Welcome to this Blog series on Neural Networks. In this series 204.5 we will go from basics of neural networks …
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204.4.12 Bootstrap Cross Validation
Link to the previous post : https://statinfer.com/204-4-11-k-fold-cross-validation/ This will be our last post on our Model Selection and Cross Validation …
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204.4.11 K-fold Cross Validation
Link to the previous post : https://statinfer.com/204-4-10-cross-validation/ Ten-fold Cross – Validation Divide the data into 10 parts(randomly) Use 9 parts …
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204.4.10 Cross Validation
Link to the previous post : https://statinfer.com/204-4-9-model-bias-variance-tradeoff/ Cross Validation We always build and train a model with a training dataset. …
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204.4.9 Model-Bias Variance Tradeoff
Link to the previous post : https://statinfer.com/204-4-8-problem-of-under-fitting/ Model Bias and Variance Over fitting Low Bias with High Variance Low training …
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204.4.8 Problem of Under-fitting
Link to the previous post: https://statinfer.com/204-4-7-problem-of-overfitting/ The Problem of Under-fitting Simple models are better. It’s true but is that always …
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