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### Machine Learning Algorithms: Data Scientists Should Know

- Internal Node: Represents a test on the attribute.
- Branch: Represents the outcome of the test.
- Leaf Node: Represents a particular class label like decision made after computing all of the attributes.

- This is also known as logit model or logit regression.
- In logistics regression, the dependent variable is a categorical.
- It models the probabilities of the default class.
- The regression coefficients are estimated using the maximum likelihood method.
- Binary logit model is one where the dependent variable can only take a value 0 or 1.
- Multinomial logit model is one where the dependent variable can have three or more possible types and are not ordered.
- Ordinal logit model is one where dependent variable can have many types and are ordered.

- It is an unsupervised machine learning algorithm.
- It generated association rules from the given data sets.