Name:

RAMINENI PARDHA SARADHI

CLASS ID:

38

In this lesson we reviewed regression techniques

Linear Regression

Multiple Regression

1.Delete all the outlierdata for the GarageArea field (for the same data set in the use case: House Prices).

Answer))

For this task we plotted GaurageArea field and SalePrice in scatter plot, then checked which numbers are anomalies.

2. Create Multiple Regression for the “wine quality” dataset.

Answer))In this data set “quality” is the target label.Evaluate the model using RMSE and R2 score.

You need to delete the null values in the data set

You need to find the top 3 most correlated features to the target label(quality)