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The project aims to evaluate the effectiveness of various machine learning methods in predicting the likelihood of new customers experiencing energy price increases. Utilizing the dataset provided in the CE802_P2_Data.zip file, the investigation will focus on comparing the performance of the following machine learning techniques:

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abiodunarabaa/Assessing-Machine-Learning-Approaches-for-Predicting-Energy-Price-Risks

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Assessing-Machine-Learning-Approaches-for-Predicting-Energy-Price-Risks

The project aims to evaluate the effectiveness of various machine learning methods in predicting the likelihood of new customers experiencing energy price increases. Utilizing the dataset provided in the CE802_P2_Data.zip file, the investigation will focus on comparing the performance of the following machine learning techniques:

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The project aims to evaluate the effectiveness of various machine learning methods in predicting the likelihood of new customers experiencing energy price increases. Utilizing the dataset provided in the CE802_P2_Data.zip file, the investigation will focus on comparing the performance of the following machine learning techniques:

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