Key Points
| Introduction to Data Science workflow with R |
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| Introduction to Caret |
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| Data Partition with caret |
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| Evaluation Metrics with caret |
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| Supervised Learning with Continuous Output |
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| Supervised Learning with Categorical Output |
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| Unsupervised Learning |
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| Regularization and Variable Selection |
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| Kaggle online competition: Supervised Learning |
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| Kaggle online competition: Unsupervised Learning |
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| Fundamental Text Mining using R |
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| Part of Speech Tagging |
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Glossary
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