Machine Learning Is Fun !

We know that humans learn from past experiences and machines follow the instructions given by humans, but what if humans can train machines to learn from past figures and can do what humans do very fast Can work with, which is called machine learning.

For example, 1 method is the classification method. It can put data in different groups. The same classification method is used to accept handwritten numbers and is also used to classify email into spam and not-spam. It is the same method, but it gives different training data and hence it comes with different classification logic.

There are three types of machine learning algorithms:

• supervised learning
• Unheard learning
• reinforcement learning

Supervised Learning : 

Here we have a teacher who instructs us i:e training data, which means that here we have inputs and outputs also in supervised learning and through that given data also known as labeled data. Is that we create a model and there we put our new one and check it. Whether or not we are getting the desired output and if we get the same output according to the training data, then the data given was very accurate and sophisticated and the algorithm is properly learned and classified, and the algorithm used here Naire Bayes Algorithm is.

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