- Building A Time Series Forecasting Model For Electricity UsageElectricity usage patterns are influenced by various factors, including weather conditions, time of day, day of the week and seasonal factors such as holidays. Therefore, to build an effective forecasting model for electricity usage, we need to consider these factors. This article will guide you through the process of building a time series forecasting model …
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- Customer Retention in Telecom: A Machine Learning ApproachCustomer retention is a critical aspect of the telecom industry. With the high cost of acquiring new customers, it is often more cost-effective to retain existing customers than to attract new ones. Machine learning can play a crucial role in predicting customer churn and helping devise strategies to retain customers. This article provides a comprehensive …
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- DATA SCIENCE AND MACHINE LEARNING CASE STUDIESDATA SCIENCE AND MACHINE LEARNING CASE STUDIES Introduction The transformative impact of Data Science, Artificial Intelligence (AI) and Machine Learning (ML) on diverse industries cannot be overstated. These cutting-edge technologies are revolutionizing the real world and the way businesses operate, making data-driven decision-making an integral part of corporate strategies. DS AI Hub is a platform …