Machine Learning: Classification
18 videos • 4,186 views • by Mario Castro
1
Introduction to classification
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2
Machine Learning: Preprocessing the data
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3
Measuring the performance of your classifier
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4
How to resolve Class Imbalance in R
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5
A visual way to check for outliers
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6
Classification: K-Nearest Neighbors (k-NN)
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7
Classification: Logistic regression
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8
k-Nearest neighbors in R with the "class" package
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9
Validation (and Cross-validation)
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10
Logistic regression in R with the glm function (and some mentions to caret)
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11
Cross validation in R with the caret library
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12
Decision trees with caret and “rpart”
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13
Classification And Regression Trees
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14
Random forests: From decision trees to "shuffled" collections of trees
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15
Random Forests with caret: Accuracy and variable importance
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16
Classification: Support Vector Machines (part 1)
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17
Classification: Support Vector Machines (part 2)
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18
The wrong question to ask: What's the best classification algorithm?
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