"""Machine Learning :Supervised Learning Vs Unsupervised Learning"""

Supervised learning

Note: Supervised learning allows you to collect data or produce a data output from the previous experience.


1 . Supervised learning is a machine learning method in which models are trained using labeled data.

                                                                     Y = f(X)

2. In supervised learning, input data (X) is provided to the model along with the output (Y).

3. Supervised learning model takes direct feedback

4. The goal of supervised learning is to train the model so that it can predict the output when it is given new data.

5. Classification and Regression problems come under supervised learning.

Examples of Supervised learning algorithms: Linear Regression, Logistic Regression, Support Vector Machine, Multi-class Classification, Decision tree, Bayesian Logic, Random forest



Unsupervised learning 

Note: Unsupervised learning is a machine learning technique, where you do not need to supervise the model & only input data is given. 

1. Unsupervised learning algorithms are trained using unlabeled data.

2. Unsupervised learning is another machine learning method in which patterns inferred from the unlabeled input data.

3. Clustering and Associations problems come under unsupervised learning.

4. Unsupervised learning model finds the hidden patterns in data.

5. Unsupervised learning model does not take any feedback.

6. The goal of unsupervised learning is to find the hidden patterns and useful insights from the unknown dataset.

Examples of Unsupervised learning algorithms:-Clustering, Kmeans, KNN, and Apriori algorithm, Gaussian mixture for clustering problems.


Lets take set of images of cartoons and learn 'what does the supervised & unsupervised learning actually mean?'

In the following example, we are building the  predictive model from existing trained dataset. Hence its called as Supervised Learning.




In the following example , we are building the  predictive model from unknown dataset. Hence its called as Unsupervised Learning.




Summary :Supervised Vs Unsupervised Learning




























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