Hello all, welcome to another machine learning tutorial. Here, we will learn about K nearest neighbors classification model. We will take same example from logistic regression article. K Nearest Neighbors Classification: Let us understand what K Nearest Neighbors classification does.…

## Logistic Regression Classification

Hello all, welcome to another tutorial in machine learning. Till now ,we learned about many regression models which had independent variables and dependent variable. Dependent variable is result of independent variables. For example, we predicted salary based on experience, qualifications…

## Random Forest Regression

What comes to mind when we think of a forest after knowing about a tree ? In previous article we learned about decision tree regression and now will learn about random forest regression. Random Forest Regression: It uses ensemble learning.…

## Decision Tree Regression

We learned about support vector regression in previous article and now we will implement decision tree regression to predict salaries of employees at certain position. Decision Tree Regression It splits dataset into sections and calculates predictions from average values of…

## Support Vector Regression

Hello all!We have learnt about three different forms of regression in previous tutorials.Now we will learn yet another interesting form of regression i.e. Support Vector Regression(SVR). Support Vector Regression: We will perform SVR on same example that we have used…

## Polynomial Regression

We learned about multiple linear regression and backward elimination in previous articles. Now we will learn about another form of regression, i.e. polynomial regression. we will take a look at it to solve an interesting problem. Polynomial Regression: Before we…