K-Nearest Neighbors: A Machine Learning Algorithm
Easy to implement and understand, the K-Nearest Neighbors algorithm is one of the most important machine learning algorithms, and is used to solve both regression and classification problems. It ultimately separates and organizes recognized objects into categories – allowing us to draw further conclusions from observed values.
Join us on March 8th at 11:00AM EST, where we we’ll cover:
✅ Exactly what the K-Nearest Neighbor algorithm is and how it works
✅ What a classification model is
✅ When do Data Analysts use it?
✅ How the given data needs to be prepared
✅ The best tools to use for the process
All you need to attend is your laptop, a wifi connection and a willingness to step into machine learning mode! All are welcome too, so tell your friends, your family and even your loud-at-times neighbors 📢