GUI based application on polynomial regression

CONCEPT

• Statistical method to predict real valued data

• Relates one dependent variable with one independent variable

• Works on multiple powers of same independent variable

• Expresses the relationship using a curved line

• Non-linear model, but linear regression: depends on a linear combination of terms

                                                                KEY FEATURES

• Models non-linearly separable data

• More flexible,can work on complex relationships

• Full control over feature variables

• Requires knowledge of data and careful design

• Chances of overfitting

CODE

DATASET - Click to get the dataset

CODE - Click to get the code

GUI based application on multilinear regression

CONCEPT

• Statistical method to predict real valued data

• Relates one dependent variable with multiple independent
variables

• Expresses the relationship using a straight line in multi-
dimensional space

KEY FEATURES                             

• Multiple methods to build the model

• Can fall into dummy variable trap

• Uses linear combination of expressions

• Has more number of relationships

• Can select best independent variables

CODE

Dataset - Press to get the dataset

CODE - Press to get the code

GUI based application on linear regression

LINEAR REGRESSION

• Statistical method to predict real valued data

• Relates one dependent variable with one independent variable

• Expresses the relationship using a straight line

• Performs approximation

KEY FEATURES

• Fast

• Easy to model

• Useful when relationship is not extremely complex

• Useful when there is not lot of data

• Intuitive to understand and interpret

• Sensitive to outliers

CODE

DATASET LINK - Press to get the dataset . 

CODE LINK  - Link to get the code .