Random Forest using R - English
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- Machine Learning using R - old 2022 Tutorials - English
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1Supervised Learning
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2Unsupervised Learning
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3Data Cleaning using R
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4Linear Discriminant Analysis in R
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5Quadratic Discriminant Analysis in R
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6Support Vector Machine using R
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7Logistic Regression using R
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8K-Means Clustering in R
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9Hierarchical Clustering in R
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10Decision Tree using R
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Random Forest using R
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Outline:
Random Forest using R About Random Forest. Benefits of Random Forest. About bagging and its importance. Use bagging in Random forest. Applications of Random Forest. Load the iris dataset. Implement Random Forest on iris data set. Tuning a Random Forest model. Plot the results of the Random forest model. Create a variable importance plot.
Width: | 908 | Height: | 676 |
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Duration: | 00:09:36 | Size: | 5.3 MB |
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