Logistic Regression model is used to predict the outcome of the PoorCare variable which depends on other significant variables in the quality data set. And using the Threshold value and AUC curve to analyze the accuracy of the model.

Applying Regression Model On National Basketball Association(NBA) Dataset to predict the number of wins on the basis of Points difference. And predicting Points on the basis of other relevant variables. And applying the model on the test dataset.

Applying Linear Regression model on the Baseball data set to predict number of wins on the basis of Run Difference. And predicting Run Scored on the basis of related variables.

Applying Regression model on wine dataset. And making prediction using the model. And applying multiple linear regression model.

Working on the USDA dataset using tools in R

Applying random forest algorithm on training data set of stevens data to make the prediction model, And used the complexity parameters to increase the accuracy of the model