# What is Supervised Learning?

## Introduction to supervised learning in machine learning

well if you are a beginner in the field of machine learning then most probably you have heard of these types of learning well if don’t then don’t worry I would be explaining to you what is supervised learning in this article

# What is supervised learning?

Supervised learning involves learning a function that maps an input to an output based on example input-output pairs. by the definition supervised learning means this.

# How supervised learning works?

in supervised learning, first, the model train itself on a training labeled dataset then after the training completes the model is now trained and got an experience from the past dataset values and stores all the value in the model itself so now if we get a test data or a data that we want to predict. the model predicts an outcome on the trained data.

# Types of models in supervised learning

## Regression models

regression models are continuous and they built a correlation with the dataset and the model try to use a mathematical function for eg it can use either a straight line or a curve to fit the dataset and the output in these types of model can be a number as you can see in the image below

## Classification models

on the other hand, we have classification models in classification models we categorize into many classes with the help of algorithms the algorithms it uses are a straight line or curve to differentiate between the data into classes the output can be binary or categorical as you can see in the image below

# Models in supervised learning

• Simple Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Logistic Regression
• Decision Tree
• Random Forest
• Support Vector Models
• K-Nearest Neighbours
• Kernel SVM
• Naïve Bayes

# Applications of supervised learning

• fraud detection
• market forecasting
• Image- and object-recognition
• Customer sentiment analysis

## what’s next?

well I have good news for you I would be bringing some more articles to explain machine learning models with codes so leave a comment and tell me how excited are you about this

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