Estimating the sale prices of houses is one of the basic projects to start with the Machine Learning. After implementing this we will be able to predict continuous variables using Linear regression algorithm.
Why linear regression? Linear regression is an algorithm used to predict values that are continuous in nature. It became more popular because it is the best algorithm to start with if you are a newbie to ML.
Steps Involved
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Importing the required packages into our python environment
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Importing the house price dataset
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Feature Selection & Data Split
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Modeling the data using the Linear Regression algorithm
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Evaluating the built model using the evaluation metrics
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Visualization of results