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
SalesPrice
Original Data with Anomalies
Filtering the Anomalies
2. Create Multiple Regression for the “wine quality” dataset.
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In this data set “quality” is the target label.
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You need to find the top 3 most correlated features to the target label(quality)
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You need to delete the null values in the data set
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Evaluate the model using RMSE and R2 score.