Decision Tree - Validation - Accuracy & Classification Table | Part-8

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Learn how to create the confusion matrix for the model and find the accuracy of the classification for the same . The concept is explained in detail about the classification table creation. Explore more on the topic in the video.

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This video is part of the e-learning course - Machine Learning with Python (https://statinfer.com/course/machine-learning-with-python-2/)

For the detailed video tutorials, code files, data-sets and other material, please visit our site https://statinfer.com/

This video is part of the e-learning course - Machine Learning with Python (https://statinfer.com/course/machine-learning-with-python-2/)

Our "Machine Learning" course is now available on Udemy
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Part 1 – Introduction to R Programming.
This is the part where you will learn basic of R programming and familiarize yourself with R environment. Be able to import, export, explore, clean and prepare the data for advance modelling. Understand the underlying statistics of data and how to report/document the insights.

Part 2 – Machine Learning using R
Learn, upgrade and become expert on classic machine learning algorithms like Linear Regression, Logistic Regression and Decision Trees.

Learn which algorithm to choose for specific problem, build multiple model, learn how to choose the best model and be able to improve upon it. Move on to advance machine learning algorithms like SVM, Artificial Neural Networks, Reinforced Learning, Random Forests and Boosting and clustering algorithms like K-means.

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