# linear regression

## Linear regression in python

Linear regression is a statistical method for modeling the linear relationship between a dependent variable and one or more independent variables. In Python, this relationship can be modeled using the ‘statsmodels‘ or ‘sklearn‘ libraries. Here is an example of how to perform linear regression in Python using the statsmodels library: In this example, the independent …

## Machine Learning Models Explained in 5 Minutes

LINEAR REGRESSION The ultimate goal of linear regression is to find a line that best fits the data. The goal of multiple linear regression and polynomial regression is to find the plane that best fits the data in n-dimension. LOGISTIC REGRESSION Logistic regression is used to describe data and to explain the relationship between one …

## Top 10 Machine Learning Algorithms

1.Linear Regression Linear Regression tends to establish a relationship between a dependent variable(Y) and one or more independent variable(X) by finding the best fit of the straight line.The equation for the Linear model is Y = mX+c, where m is the slope and c is the intercep. In the diagram, the blue dots we see …