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Hass-Consluting-House-Pricing

a) Specifying the Data Analytic Question.

Using information collected over the past few months on real estate properties, what factors affect housing prices?

b) Defining the Metric for Success.

The analysis will be declared a success once when the following requirements have been satisfied;

Found the factors affecting housing prices. Created models that can help us predict housing prices given the factors and variables available. These models include; Multiple Linear Regression Quantile Regression Ridge Regression Lasso Regression Elastic Net Regression

c) Understanding the context.

As a Data Scientist, you work for Hass Consulting Company which is a real estate leader with over 25 years of experience. You have been tasked to study the factors that affect housing prices using the given information on real estate properties that was collected over the past few months. Later onwards, create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables.

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MIT

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