In this section, you will get to about basics concepts of machine learning, its history, definition, types, and applications.
In this section, you will get to about basics concepts of supervised learning, its working, definition, types, advantages, disadvantages and applications.
In this section, you will get to about regression algorithms, its definition, and 6 main algorithms except logistic regression.
In this section, you will get to about basics concepts of Classification algorithms, its introduction, definition, types, and applications.
Data science is an inter-disciplinary field which is the combination of three domains, computer science, Business or domain expertise and Math & statistics.
Unsupervised learning is the type of Machine Learning. In this section you will get to know about definition, working, types of algorithms, Pros & Cons and Applications of Unsupervised machine learning.
In this section, you'll get to know about basic overview of reinforcement learning.
In this section, you will get to know about basic concepts of clustering such as definition, types, and applications.
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