Regression-with-Python-and-R for Machine Learning and Data science

Many useful algorithms for regression machine learning.

Regression analysis is a form of predictive modeling strategy that investigates relationships between a dependent and independent variable. This technique is used for predicting, for the time series modeling and to find out the causal effect relationship in variables. For example, the relationship between road driving and road accidents by a driver is studied through good regression.

Regression analysis is an important tool for modeling and analyzing data. Here, we fit a curve / line in the data point, in such a way that the difference between the curve or the distance of the data points from the line is reduced.
There are several benefits using Regression Analysis

1. It indicates important relationships between dependable variables and independent variables.
2. It refers to the power of the effect of multiple independent variables on a dependent variable.

Regression-with-Python-and-R for Machine Learning and Data science

v2.3.4

Update LICENSE