End-to-End ML Project- Beginner friendly

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Launch, monitor and maintain the system

Congrats! You got approval for launching the system. This is the final step of our pipeline. Also, it is a never-ending step as we have to continuously monitor and maintain the system. Although there are several tools for monitoring, still there may be cases when these tools fail and your intervention is needed.

First of all, you need to get your solution ready for production. You also need to automate the process of monitoring the system continuously and also code it to trigger alerts when the performance drops. This is quite common because models tend to “rot” as data evolves over time unless the models are regularly trained on fresh data.

You also need to evaluate the model by performing human analysis. It can be performed by some experts or workers on a crowdsourcing platform.

You should also monitor the quality of the input data. Sometimes the performance will degrade slightly because of poor-quality input.

Finally, you have to automate the process of re-training the model on fresh data.

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