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Machine Learning Basics

27

Jan'17

203.3.2 The Decision Tree Approach

The Decision Tree Approach In previous section, we studied about  Decision Trees in r : Segmentation The aim is to …

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27

Jan'17

203.2.6 Model Selection : Logistic Regression

LAB-Logistic Regression Model Selection In previous section, we studied about Multi-collinearity and Individual Impact Of Variables in Logistic Regression What …

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27

Jan'17

203.2.5 Multi-collinearity and Individual Impact Of Variables in Logistic Regression

Multicollinearity In previous section, we studied about Goodness of fit for Logistic Regression When the relation between X and Y …

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27

Jan'17

203.2.4 Goodness of fit for Logistic Regression

Goodness of Fit for a Logistic Regression In previous section, we studied about Multiple Logistic Regression Classification Matrix Accuracy Classification …

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27

Jan'17

203.2.3 Multiple Logistic Regression

LAB: Multiple Logistic Regression In previous section, we studied about Logistic Function to Regression Import Dataset: Fiberbits/Fiberbits.csv Active_cust variable indicates …

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27

Jan'17

203.2.2 Logistic Function to Regression

Logistic Regression Function In previous section, we studied about Logistic Regression, why do we need it? Logistic regression models the …

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