The data science lifecycle is designed for big data issues and data science projects. Generally, the data science project consists of seven steps which are problem definition, data collection, data preparation, data exploration, data modeling, model evaluation and model deployment. This article goes through the data science lifecycle in order to build a web application for heart disease classification.

If you would like to look at a specific step in the lifecycle, you can reach it without looking deeply to the other steps.

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