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Answer» Generally, we follow the below steps: - The first STEP is to thoroughly understand the business requirement/problem
- Next, explore the given data and analyze it carefully. If you FIND any data missing, get the requirements clarified from the business.
- Data CLEANUP and preparation step is to be performed next which is then used for modelling. Here, the missing values are found and the variables are transformed.
- Run your model against the data, build meaningful visualization and analyze the results to get meaningful insights.
- Release the model implementation, and track the results and PERFORMANCE over a specified period to analyze the usefulness.
- Perform cross-validation of the model.
Check out the list of data ANALYTICS projects.
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