The Machine Learning consists of mainly two types of algorithms ,that helps beginner to understand the working of machine learning algorithms:

Supervised Learning: The algorithm helps the model to infer the learning under the supervision by providing the labeled data as feed to my model.

supervised learning can again be divided into two categories:

Regression

Classification


Unsupervised Learning: In unsupervised Learning the machine learns from unlabeled data, i.e. the result for the input data is not known beforehand. Here, the algorithm tries to determine the underlying structure of the data.


Types of unsupervised learning algorithms:

K-means clustering

Hierarchical Clustering

Principal Component Analysis

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