Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

Uses embedding-based similarity to find the most relevant classes from your dataset. This step handles the core classification by computing cosine similarity between the input text and all class ...

The Accent Classifier is designed to solve real-world language processing challenges by automatically identifying speaker accents from audio samples. Built with a modular architecture, the system ...