From the course: Machine Learning and AI Foundations: Classification Modeling
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Discriminant with three categories
From the course: Machine Learning and AI Foundations: Classification Modeling
Discriminant with three categories
- [Instructor] Okay, for our first algorithm we're going to talk about linear discriminant analysis. Now as the name implies, we're trying to talk about the equation of a line, but here we're focused on trying to separate two groups. We want one group at one end of the line, and another group at the other end of the line. Now while we're discussing this, we're gonna revisit a topic that we talked about briefly earlier. And that is that when we're trying to predict into three categories, it can complicate things more than we anticipate. So we'll start with two, but during this video we're also gonna discuss the challenges of trying to predict into three. First, let's picture what we're trying to do. We're looking at a data set that's actually a famous one that's got the dimensions of petal width and petal length for a group of flowers, and we can imagine here that we could easily add a line that trends through these data points. Let's take a moment though to talk just a little bit…
Contents
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Overview2m 10s
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Discriminant with three categories5m 44s
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Discriminant with two categories5m 2s
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Stepwise discriminant1m 3s
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Logistic regression10m 54s
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Stepwise logistic regression1m 3s
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Decision Trees4m 46s
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KNN3m 58s
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Linear SVM8m 2s
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Neural nets7m 57s
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Bayesian networks7m 54s
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Heterogenous ensembles3m 22s
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Bagging and random forest3m 26s
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Boosting and XGBoost1m 57s
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