Explanation:Simple linear regression is equipped to handle more than one predictor. 6. Which of the following technique comes under practical machine learning ?
A. Bagging
B. Boosting
C. Forecasting
D. None of the Mentioned
Answer:A
Explanation:Simple linear regression is equipped to handle more than one predictor. 6. Which of the following technique comes under practical machine learning ?
A. Bagging B. Boosting C. Forecasting D. None of the Mentioned
Explanation:Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor. 7. Data Products shown in the below figure is built using which programming language ?