Hands-On Exploratory Data Analysis with Python

Classification

A classification problem has the output variable in the form of a category value; for example, red or white wines; young, adult, or old. For classification problems, there are different types of classification algorithms.

Some of the most popular ones are as follows:

• Linear classifier: Naive Bayes classifier, logistic regression, linear SVM
• Nearest neighbor
• Decision tree classifier

• Support vector machines
• Random Forest classifier
• Neural network classifiers
• Boosted trees classifier

Having listed the most popular classification algorithms, we must point out that going through each of these classifications algorithms is beyond the scope of this book. However, our main intention here is to point you in the right direction. ...