Others

Some Classifiers in scikit-learn

K-nearest neighbors
Support vector machines
Decision tree classifiers / Random Forests
Naive Bayes
Linear Discriminant Analysis
Logistic Regression

Examples of Classification Tasks

Classification tasks are any tasks that have you putting examples into two or more classes. Determining if an image is a cat or dog is a classification task, as is determining what the quality of a bottle of wine is based on features like acidity and alcohol content.

Depending on the classification task at hand, you will want to use different classifiers. For instance, a logistic regression model is best suited for binary classification tasks, even though multiple variable logistic regression models exist.

As you gain more experience with classifiers you will develop a better sense for when to use which classifier. However, a common practice is to instantiate multiple classifiers and compare their performance against one another, then select the classifier which performs the best.

https://stackabuse.com/overview-of-classification-methods-in-python-with-scikit-learn

https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html