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What exactly is machine learning?
Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.

What exactly is a classification algorithm in supervised learning?

In machine learning, classification refers to a predictive modelling problem where a class label is predicted for a given example of input data. Examples of classification problems include: Given an example, classify if it is spam or not. Given a handwritten character, classify it as one of the known characters.

Types of Classification Algorithm.

Logistic Regression.
Naïve Bayes.
Stochastic Gradient Descent.
K-Nearest Neighbours.
Decision Tree.
Random Forest.
Support Vector Machine

Complete Blog on ‘Supervised Learning in Machine Learning for Beginners’ -
https://seeve.medium.com/all-about-supervised-learning-dbe9fe9fb676

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Machine Learning Tutorial for Beginners | What is  Classification Algorithm and its Types
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