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Time-Series-of-Price-Anomaly-Detection-Expedia

The Time Series of Price Anomaly Detection Expedia is a data mining process used to

determine types of anomalies found in a data set and to determine details about their occurrences.

Automatic anomaly detection is critical in today’s world where the sheer volume of data makes it

impossible to tag outliers manually. Auto anomaly detection has a wide range of applications such

as fraud detection, system health monitoring, fault detection, and event detection systems in sensor

networks, and so on. Here to apply anomaly detection to hotel room prices.

Skills: Data Mining, Python

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Project ID: #30617882

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snbhanja

hi, I have built and deployed large scale univariate and multivariate anomaly detection model using deep learning. I already deployed this into production and monitoring it. This automatic anomaly detection model will More

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yvonnefrancis200

MASTERS SOFTWARE ARCHITECTURE EXPERT IN PYTHON,DATA MINING HELLO, I have understood your SPECIFICATIONS for the task. I have over 5 YEARS’ experience in this field and have adverse experience since it is my area of More

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