Data Science & Machine Learning – C5.0 Decision Tree Use Case – DIY- 26 -of-50

Do it yourself Tutorial

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Bharati DW Consultancy

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C5.0 Decision Tree – Classification

C50_modelanglebrace- C5.0(train_Predictors, train_Target)

C50_predictanglebrace- predict(C50_model, test_data)

Get the data from Balance Scale Data Set.

Citation Policy:

If you publish material based on databases obtained from this repository, then, in your acknowledgements, please note the assistance you received by using this repository. This will help others to obtain the same data sets and replicate your experiments. We suggest the following pseudo-APA reference format for referring to this repository:

Lichman, M. (2013). UCI Machine Learning Repository []. Irvine, CA: University of California, School of Information and Computer Science.

Here is a BiBTeX citation as well:

@miscLichman:2013 , author = “M. Lichman”,

year = “2013”, title = “UCI Machine Learning Repository”,

url = “”, institution = “University of California, Irvine, School of Information and Computer Sciences”

Data Science & Machine Learning – Getting Started – DIY- 1 -of-50

Data Science & Machine Learning – R Data Structures – DIY- 2 -of-50

Data Science & Machine Learning – R Data Structures – Factors – DIY- 3 -of-50

Data Science & Machine Learning – R Data Structures – List & Matrices – DIY- 4 -of-50

Data Science & Machine Learning – R Data Structures – Data Frames – DIY- 5 -of-50

Data Science & Machine Learning – Frequently used R commands – DIY- 6 -of-50

Data Science & Machine Learning – Frequently used R commands contd – DIY- 7 -of-50

Data Science & Machine Learning – Installing RStudio- DIY- 8 -of-50

Data Science & Machine Learning – R Data Visualization Basics – DIY- 9 -of-50

Data Science & Machine Learning – Linear Regression Model – DIY- 10(a) -of-50

Data Science & Machine Learning – Linear Regression Model – DIY- 10(b) -of-50

Data Science & Machine Learning – Multiple Linear Regression Model – DIY- 11 -of-50

Data Science & Machine Learning – Evaluate Model Performance – DIY- 12 -of-50

Data Science & Machine Learning – RMSE & R-Squared – DIY- 13 -of-50

Data Science & Machine Learning – Numeric Predictions using Regression Trees – DIY- 14 -of-50

Data Science & Machine Learning – Regression Decision Trees contd – DIY- 15 -of-50

Data Science & Machine Learning – Method Types in Regression Trees – DIY- 16 -of-50

Data Science & Machine Learning – Real Time Project 1 – DIY- 17 -of-50

Data Science & Machine Learning – KNN Classification – DIY- 21 -of-50

Data Science & Machine Learning – KNN Classification Hands on – DIY- 22 -of-50

Data Science & Machine Learning – KNN Classification HandsOn Contd – DIY- 23 -of-50

Data Science & Machine Learning – KNN Classification Exercise – DIY- 24 -of-50

Data Science & Machine Learning – C5.0 Decision Tree Intro – DIY- 25 -of-50

Data Science & Machine Learning – C5.0 Decision Tree Use Case – DIY- 26 -of-50

Machine learning, data science, R programming, Deep Learning, Regression, Neural Network, R Data Structures, Data Frame, RMSE & R-Squared, Regression Trees, Decision Trees, Real-time scenario, KNN, C5.0 Decision Tree,