Time series Anomaly Detection

In Progress Posted 1 year ago Paid on delivery
In Progress Paid on delivery

I need help with time series anomaly detection. Specifically, I need to look at very very small and large data sets to detect Anomalies throughout the date range. There are only 2 variables in this model, Time (daily) and count(y-axis).

I want to detect when the count(y value) is not in line with expected values.

I want a chart that shows the expected values, and the anomalies that occur to be outside of that expected value. Please look at the included chart.

Work most be completed in less than 48 hours. Bonus will be paid for work completed in 36 hours.

Machine Learning (ML) Data Science Python

Project ID: #36360166

About the project

49 proposals Remote project Active 1 year ago

Awarded to:

(22 Reviews)
5.0

49 freelancers are bidding on average $129 for this job

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6.8
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6.1
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6.1
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5.3
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5.6
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(30 Reviews)
5.4
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5.2
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(12 Reviews)
4.7
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(2 Reviews)
3.8
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3.3
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3.4
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(1 Review)
1.9