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I will forecast model time series using python

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Argentinië

Ik spreek Spaans, Engels
My name is ariel, I am a business administrator and I program in python and sql. I specialized in business intelligence and machine learning statistics Work in retail industries health banking and...
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Over deze dienst

Complete analysis and prediction of Time series in my python pipeline:

The offer includes:

  • Google Colab Notebook (web-app, doesn't require to install any software) containing the full python pipeline that reads data, generate the predictions, export the output
  • Documentation including theory behind each graph & decision taken provided directly in the notebook.
  • Replicability/Scalability: Analysis completely replicable by just changing input data
  • Methodologies: Traditional (ARIMA) and/or new (FBProphet) methodologies including Machine Learning


The analysis consists of: 

  1. Time Series model fitting: Fit a TS model to apply to past/future data
  2. TS Decomposition into trend, Seasonal (yearly/weekly/daily/holidays) & Error components
  3. Anomaly Detection: Identify anomalies in the past and corresponding importance
  4. TS Predictions: Predictions for future data, along with corresponding Interval of Confidence
  5. Diagnostics of predictions: Accuracy measures and errors of predictions (MAE, MSE, MAPE, etc)
  6. (Only for ARIMA): ACF/PACF/ Moving Average decomposition, check stationarity
  7. Multivariate modeling: Predict y using multivariate models that use other covariates (x1, x2, x3, etc.)


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forecast model time series using python
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forecast model time series using python
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