- LINEAR REGRESSION
Imported required libraries like numpy, pandas, sklearn,...etc
Dataset: Canada Percapita income
- MULTIPLE REGRESSION
Imported required libraries like numpy, pandas, sklearn,...etc
Dataset: HOUSE_PRICE
DATA EXPLORATORY ANALYSIS STEPS PERFORMED:
Variable Identification.
Encoding of the colums like stateZip, Street, City.
Encoding technique used was MEAN ENCODING.
The dataset doesn't consist of null values.
Existence of Outliers was found by plotting the BOXPLOT.
The Outliers are found and removed using the Z-Score.
The model has been build using SKLEARN.
The value of intercept is 28783.876022158598