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Amin Sadri

About Me

Amin Sadri is Data Scientist at Urbis. A Ph.D. qualified data scientist with a strong mathematical background, he has won several national and international mathematics awards, and also participated in Kaggle and data challenge competitions several times and has won several prizes. 

A Common Data Science Mistake: Prediction/Recommendation by Manipulating Model Inputs

Designing a machine learning model is a tricky task. A model may not work in practice although it has high performance on the training data. This article discusses the misuse of a machine learning model that causes the predictions not to work in the real world situation. The other reasons could be overfitting, duplicated samples, and unbiased data. It is always good to use your domain knowledge or talk to some experts and see if your prediction/recommendation results make sense or not.

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