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machine Learning Algorithms in 2021

There will be a couple of algorithms to look out for in the following year. These include Linear Regression which happens to be one of the most fundamental algorithms used to model relationships between a dependent variable and one or more independent variables. This basically means it involves finding the ‘line of best fit’ that represents two or more variables.

Logistic regression on the other hand is similar to linear regression but is used to model the probability of a discrete number of outcomes, typically two. We also have Naive Bayes which is a classification algorithm and a Support Vector Machine is also a supervised classification technique but a bit more complicated.

These were only a couple of the lot, and there are far more to come in the near future.

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