Property Evaluation

Building a model to predict property values and automating the deployment process.

Developing and bringing machine learning models into production is a task with a lot of challenges. These include model and attribute selection, dealing with missing values, normalization and others. Finding a workflow that puts all the gears, from data preprocessing and analysis over building models and selecting the best performing one to serving the model in a real time API, into motion is the one I want to discuss here.

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