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This course introduces common classification techniques and algorithms in order to predict the value of the class label based on the features in the dataset. We will discuss four different classification algorithms in detail, namely, logistic regression, k-nearest neighbors, support vector machines, and decision trees. For each algorithm, we will cover the theory behind how it works, then demonstrate an implementation of it in Python. By the end of this course, you will be able to train your own classifiers with confidence.
