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1. Introduction to R
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1. Getting Started.srt
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6.97 KB
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2. R Environment.srt
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6.8 KB
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3. R Packages.srt
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5.44 KB
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4. R Data types Vectors.srt
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14.25 KB
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5. R Data Frames.srt
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17.05 KB
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6. List.srt
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13.81 KB
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7. Factor and Matrix.srt
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4.92 KB
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8. R History and Scripts.srt
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12.69 KB
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9. R Functions.srt
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7.18 KB
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10. Errors.srt
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11.79 KB
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2. Data Handling in R
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1. Introduction to Data Handling.srt
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2.17 KB
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3. Basic Statistics and Graph
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1. Introduction and Sampling.srt
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5.46 KB
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4. Data Cleaning and Treatment
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1. Introduction to Data Cleaning and Model Building Cycle.srt
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3.08 KB
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5. Linear Regression
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1. Introduction and Correlation.srt
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5.49 KB
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7. Decision Tree
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1. Introduction to Decision Tree and Segmentation.srt
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8.75 KB
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8. Model Selection and Cross Validation
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1. Introduction to Model Selection.srt
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2.64 KB
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9. Neural Networks
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1. Introduction and Logistic Regression Recap.srt
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8.93 KB
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10. Support Vector Machines
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1. Introduction to SVM.srt
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2.11 KB
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11. Ensamble Learning, Random Forest and Boosting
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1. Introduction to Bagging RF Boosting.srt
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967 B
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12. Cluster Analysis
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1. Introduction to Clustering via Segmentation.srt
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12.41 KB
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