After creating all the features to predict the sale prices, using sklearn, we train-test-split the training data. In Regression, there are a lot of models you can choose from to get the best performing model. In this project, I ran Linear Regression, Ridge, and Lasso models.
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Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
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Similar ideas to Modelling
The biggest problem, thoug h, is that models like this one are performed only on a single task. Future tasks require a new set of data points as well as equal or more amount of resources.
Transfer learning is an approach in deep learning (and machine learning) where knowledge is ...
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