A machine learning portfolio project that trains a K-Nearest Neighbors (KNN) classifier to predict the species of an Iris flower from four petal and sepal measurements. The trained model is served ...

Automate the process of grouping thousands of search queries into coherent topics for faster, more scalable content planning.

Researchers have built a tool to uncover hidden issues in the massive datasets used to train medical AI. The tool searches training data for subtle patterns that could lead AI models to incorrect ...

The Iris Flower Classification project is a supervised Machine Learning application that classifies Iris flowers into one of three different species based on their physical measurements. The model ...