Understand classification Problem in Machine Learning

Understand classification Problem in Machine Learning

Basically, there are four types of machine learning algorithms.

1- Supervised Learning Algorithms-

In supervised  learning, values of  features and labels or classes are given.

Further, Supervised learning algorithms are of two types.

1.1- Regression-

In regression numerical values are predicted.

1.2-Classification

In classification, labels  are predicted.

2-Unsupervised Learning Algorithms

In unsupervised learning, instances have not any labels. These types of algorithms   are used to find out patterns inside data and reduce features of data set.

3-Semisupervised –

It has data set in which some instances has labels and some instances has not any labels.

4- Reinforcement  Learning-

Reinforcement learning is a different kind of algorithm and widely used in Robotics.

To explain classification problem, I have used 9 instances of   Iris data set.

To see the detail please watch the video.

 

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