AI LAYER

Time Series

Time Series Analysis uses a set of powerful statistical and machine learning tools for predicting future events based on past data. Read more: Understanding customer data using time series analysis. 

Interactive Time Series Demos

Time Series Tutorials

  1. Forecast

    Gives a forecast the next n steps of a given time series

    TimeSeries

  2. Simple Moving Average

    Construct a Simple Moving Average.

    TimeSeries

  3. Time Series Summary

    Calculate various statistics of a time series

    TimeSeries

  4. BitcoinPrediction

    Predict price fluctuation rate of Bitcoin for 24 hours.

    coin_pred

  5. Linear Detrend

    Fits a linear trend to the given dataset, and returns the linear trend subtracted out

    TimeSeries
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  1. Linear Detrend

    Fits a linear trend to the given dataset, and returns the linear trend subtracted out

    TimeSeries

  2. Autocorrelate

    Finds the dataset’s cross-correlation with itself

    TimeSeries

  3. Top Periods

    Finds the longest periods in a dataset

    TimeSeries

  4. Forecast

    Gives a forecast the next n steps of a given time series

    TimeSeries

  5. Simple Moving Average

    Construct a Simple Moving Average.

    TimeSeries
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  1. sum2det

    decompose a weekly 30-day summary trend into a best-guess weekly detail trend

    jenkinser

  2. Our First Algorithm

    EdBlankenship

  3. BitcoinPrediction

    Predict price fluctuation rate of Bitcoin for 24 hours.

    coin_pred

  4. Fast Anomaly Detection

    A fast Anomaly detection algorithm best used for IoT, Fraud detection and IT Ops

    Wolverine

  5. Video Tag Sequencer

    sequence video data

    media
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