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Predictive Modeling & Machine Learning

14

Mar'17

204.6.9 Digit Recognition using SVM

Link to the previous post : https://statinfer.com/204-6-8-svm-advantages-disadvantages-applications/ In this , we will put SVM into practice by solving an image classification …

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27

Jan'17

203.7.9 Boosting Conclusion

When Ensemble doesn’t work? In previous section, we studied about Practice : Boosting The models have to be independent, we …

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27

Jan'17

203.7.8 Practice : Boosting

In last post we covered the concepts and theory behind Boosting Algorithms. In this post we will put the concepts …

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27

Jan'17

203.7.7 Boosting

In previous section, we studied about Random Forest In this post we will cover how boosting work and the type …

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27

Jan'17

203.7.6 Practice : Random Forest

In previous section, we studied about The Random Forest Let’s implement the concept of Random Forest into practice using R. …

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27

Jan'17

203.7.5 The Random Forest

Random Forest In previous section, we studied about The Bagging Algorithm Like many trees form a forest, many decision tree …

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