About this project
This is an anonymized dataset provided by the one of the most prestigious consulting companies around the world that operate in many countries. In this task, I had to predict the target value (“y”) given all the other features. Throughout this task, I completed all the advanced necessay steps and all of the necessary phases encompassesing the CRISP-DM framework to successfully build an in-house prediction model for a regression problem. The main objective was to extract new meaningful features from the existing ones. Target encoder was used to encode categorical variables.
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