Good for Machine Learning Newbies

The best way to learn machine learning concepts is by doing a project. In this article, I am going to describe some key machine learning concepts using a project.

In this article, I will explain a classification model in detail which is a major type of supervised machine learning. The model we will work on is called a KNN classifier as the title says.

The KNN classifier is a very popular and well known supervised machine learning technique. This article will explain the KNN classifier with a simple but complete project.

What is a supervised learning model?

I will explain it in detail. But here is what Wikipedia has to say:

Supervised learning_ is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples._

Supervised learning models take input features (X) and output (y) to train a model. The goal of the model is to define a function that can use the input features and calculate the output.

#data-science #towards-data-science #machine-learning #python #scikit-learn

Learn to Develop a KNN Classifier with a Project Using Python’s Scikit_learn Library
1.20 GEEK