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This is a fraudulent user detecting Kaggle competition. We developed a classification model based on Random Forest to predict when a user downloads a specific app through advertised apps. This data set contained 200 million observations which can be considered as big data. We implemented many feature engineering and data preprocessing techniques…

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farshadniayeshpour/TakingData-AdTracking-Fraud-Detection-Challenge

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TakingData AdTracking Fraud Detection Challenge

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This is a fraudulent user detecting Kaggle competition. We developed a classification model based on Random Forest to predict when a user downloads a specific app through advertised apps. This data set contained 200 million observations which can be considered as big data. We implemented many feature engineering and data preprocessing techniques…

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