How to test data science models acceptability?

Putting a model in production is not only about how many requests per second it can handle

As a manager, you were diligent and you set a data science project running that follows a carefully established strategy. But now, you have a thrilled data scientist who is explaining to you how his/her model has an impressive accuracy with a given validation strategy and you should start to use it in production. Can it be that simple? Read more

Kaggle competition : pseudo-labelling efficiency in regression tasks

I needed some training on regression problems for a project. I luckily found out that the Kaggle Mercedes Benz competition; which aims at the development of a model that predicts how long a car in the manufacturing process stays on the test bench; just had started. I am starting to get a much better grasp on models and how they work one by one. Having in mind to learn new approaches and tricks I tried several published kernels and among them one from Hakeem which showed to me one new way on how to stack models and go beyond : Read more

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