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
Rows per page: 1-5 of 41
  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
Rows per page: 1-5 of 41
  1. BitcoinPrediction

    Predict price fluctuation rate of Bitcoin for 24 hours.

    coin_pred
  2. Fast Anomaly Detection

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

    Wolverine
  3. forecastNARX

    Time Series Forecasting using NARX

    cluna7
Rows per page: 1-5 of 41