11 ML Algorithms You Should Know

Important Machine Learning algorithms in 2021

Photo by Markus Spiske on Unsplash

Of course, there is a lot of advancement that happened all over the years in the field of data science. Some new efficient algorithms have been proposed as well through different research works. But few basics will remain the fundamentals of all advanced algorithms.

Below is the list of such 11 ML algorithms which have been mostly used in a data science field and asked in Data science interviews as well.

1. Linear Regression:- It is the most well-known and well-understood algorithm in statistics and machine learning. Linear regression is a linear model, e.g., a model that assumes a linear relationship between the input variables (x) and the single output variable (y) which means y can be easily computed using the linear relationship.

• When there is a single input variable(x), the equation is referred to as simple linear regression.
• When there is more than one input variable, the equation is referred to as multiple linear regression.

The Equation:
y = B0 + B1*x (where x is input variable, y is the output variable and B0 and B1 are the coefficients)

The line of best fit is found by minimizing the squared distances between the points and the…