DAY 6: Types of Machine Learning Algorithms

In this thread, we will review the various types of machine learning algorithms and their use-cases.
We& #39;re going to look at the big use cases of these Algorithms and how they revolutionize our society today

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**Types of Machine Learning
There are three important types of Machine Learning Algorithms that will be discussed in this thread:
•Supervised Learning
•Unsupervised Learning
•Reinforcement Learning
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1. Supervised Learning
The most common paradigm for performing ML operations is supervised learning. It is commonly used for data where the mapping between input-output data is accurate. The algorithm directly defines the features & performs predictions or classification.
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The following are some of the algorithms which come under supervised learning:
*Linear Regression
*Random Forests
*Logistic Regression
*Support Vectors Machine
*Gradient Boosting
*Artificial Neural Networks

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a. Linear regression
In linear regression, we calculate the linear relationship between two variables or more than two. We perform predictions based on this relationship that follow this linear pattern.

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