ganeshsk / advanced_regression

Project Name

Surprise Housing - Regression Analysis for Sale Price estimation and factors governing Sales Price

Table of Contents

• About the Company
• Business Goal
• Methodology
• contact

About the Company

Surpirse housing is an US-based housing company that has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price. For the same purpose, the company has collected a data set from the sale of houses in Australia. The data is provided in the CSV file below The company is looking at prospective properties to buy to enter the market. You are required to build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not.

Business Goal

• Which variables are significant in predicting the price of a house
• How well those variables describe the price of a house.

Methodology

Ridge and Lasso Regression as there are multicollinearity between several variables and the Sales price is also not normally distibuted (More details can be found in the ipynb notebook)

Contact

Created by [GaneshSK] - feel free to contact me!