ICP5 - SaranAkkiraju/Python_and_Deep_Learning_Programming_ICP GitHub Wiki

Objectives:

1.Delete all the outlierdata for the GarageArea field

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

GarageArea

Garage

SalesPrice

Price

Original Data with Anomalies

Odata

Filtering the Anomalies

Anomalies

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

  • In this data set “quality” is the target label.

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

  • You need to delete the null values in the data set Null

  • Evaluate the model using RMSE and R2 score. Evaluate