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Predictive Modeling & Machine Learning

12

Mar'17

204.5.2 Decision Boundary – Logistic Regression

Link to the previous post :¬†https://statinfer.com/204-5-1-neural-networks-a-recap-of-logistic-regression/ In the last session we recapped logistic regression. There is something more to understand …

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12

Mar'17

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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12

Mar'17

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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12

Mar'17

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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12

Mar'17

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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12

Mar'17

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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