MLearning.ai
Published in

MLearning.ai

A Simple Overview of Nearest Neighbour Algorithms

Learning based on observation and regularities

Source: Unplash by Chang Duong

I’m sure you have heard the term

“You are the average of five people you associate with”

before. Nearest Neighbour technique in data science uses a similar concept. It helps to assign a value to a new data point by…

--

--

--

Data Scientists must think like an artist when finding a solution when creating a piece of code. ⚪️ Artists enjoy working on interesting problems, even if there is no obvious answer ⚪️ linktr.ee/mlearning 🔵 Follow to join our 18K+ Unique DAILY Readers 🟠

Recommended from Medium

Paper Explained: DCGAN using Keras based on Chintala et al’s work

Motion Planning for Self-Driving Cars — week 5, 6, 7

Importance of Innovation Indicators utilizing Machine Learning

Machine Learning Notes-1 (Introduction and Learning Types)

Data x Hyperparameters

Crowd Counting: Approaches, Use Cases and Importance (Part 1)

NudeNet: An ensemble of Neural Nets for Nudity Detection and Censoring

Data x Decision Trees (Gini)

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Dinusha Dissanayake

Dinusha Dissanayake

Data Scientist

More from Medium

Power Analysis For Sample Size Using Python

Power Analysis For Sample Size Using Python. How to calculate the sample size for hypothesis testing (AB testing) using Python.

Interview Questions for My Data Science Besties, Part 2: Linear Regression

Data Project — Pokemon Battle Prediction (2): Predict with Machine Learning

Difference Between Z-test and T-test with Confidence Interval