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

Difference between classification and regression models

Models in supervised learning

• Simple Linear Regression
• Multiple Linear Regression

What is Linear regression?

• Polynomial Regression

What is Polynomial Regression ?

• Logistic Regression

What is Logistic regression ?- introduction to machine learning models

• Decision Tree

what is Decision tree ?- an introduction to machine learning algorithms

• Random Forest

What are Random forests ?

• Support Vector Models

What is support vector machine (SVM) ?

What is support vector regression (SVR) ?

• K-Nearest Neighbours

What is K-Nearest Neighbor(KNN) ?

• Naïve Bayes

What is Naive Bayes?

• Kernel SVM

Applications of supervised learning

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

Supervised Learning vs Unsupervised Learning

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