Python Programming

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

* for this task you need to plot GaurageArea field and SalePrice in scatter plot, then check which numbers are anomalies.

2. Create Multiple Regression for the “wine quality” dataset. In this data set “quality” is the target label.

Evaluate the model using RMSE and R2 score. Data Set

** 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)