Supervised Learning - English
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- Questions posted on Forums
- Machine Learning using R - old 2022 Tutorials - English
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Supervised 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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11Random Forest using R
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Outline:
Supervised Learning About Machine Learning and its types. About iris species and its measurement parameters. Load the iris dataset and libraries. How to pose a Machine Learning problem? About supervised learning and its types. About Naive Bayes classifier. Use the test set to evaluate the performance of the model. Train a classification model with a Naive Bayes classifier. Confusion matrix and its use. Check the accuracy using True positive and True negative values.
Width: | 878 | Height: | 644 |
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Duration: | 00:13:11 | Size: | 6.1 MB |
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