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How should you handle seasonality?

on Jan 14, 2019 2:07:43 PM By | Datapred | 0 Comments | predictive analysis seasonality holt-winters

Seasonality - recurring but not necessarily periodic data patterns - is a staple of time series modeling. Since capturing true seasonality greatly enhances model accuracy, we wanted to share our thoughts and experience on the detection and modeling of such data patterns.

Advanced cross-validation tips for time series

on Dec 7, 2018 11:43:38 AM By | Datapred | 0 Comments | predictive analysis modeling backtest backtesting time series machine learning cross validation

In a previous post, we explained the concept of cross-validation for time series, aka backtesting, and why proper backtests matter for time series modeling.

Best practices for bulletproof modeling

on Oct 30, 2018 9:03:51 AM By | Datapred | 0 Comments | backtest modeling predictive analysis backtesting machine learning time series

Our goal in this post is to discuss our standard strategy (beyond respecting basic time series modeling principles) for building accurate predictive models. We will use the example of commodity purchasing optimization.

A better (Facebook) Prophet

on Oct 9, 2018 2:30:17 PM By | Datapred | 0 Comments | Prophet machine learning demand prediction predictive analysis facebook

What is Facebook's Prophet? Prophet is a forecasting (i.e. time-series specific) algorithm open-sourced by Facebook in February 2017, and belonging to the GAM family of algorithms.

Random Forest for predictive maintenance: Try harder

on Sep 19, 2018 2:16:56 PM By | Datapred | 0 Comments | random forest predictive maintenance

(Based on too many true stories) You are the Operations Manager of an industrial company. You have read a lot about Industry 4.0, and asked your favorite consultancy to build a predictive maintenance prototype for your key industrial asset.

Machine learning for demand prediction: what works and what doesn’t

on Aug 24, 2018 10:15:31 AM By | Datapred | 0 Comments | machine learning time series demand prediction

Machine learning for demand prediction is all the rage: industrial companies are suddenly waking up to the potential of machine learning in that area, proofs of concept are being launched everywhere, consulting companies are making millions…

The basics of backtesting

on Aug 14, 2018 5:03:00 PM By | Datapred | 0 Comments | backtesting backtest machine learning time series

Time series modeling requires the understanding of concepts that feel both basic and abstract:

The problem with deep learning and time series

on Aug 1, 2018 8:16:05 PM By | Datapred | 0 Comments | time series deep learning LSTM neural networks backtesting sequential data machine learning

Industry is finally catching up on the potential of machine learning for predictive analysis. But data scientists faced with a prediction challenge (demand prediction, predictive maintenance, churn prediction…) usually favor one of two equally inadequate approaches:

What's so special about time series?

on Jul 25, 2018 10:19:53 AM By | Datapred | 0 Comments | time series machine learning sequential data backtesting

Our definition of times series is: sequentially revealed, time-stamped and time-critical data.

The Datapred blog

On machine learning, time series and how to use them.

Datapred

Recent Posts

How should you handle seasonality?

Advanced cross-validation tips for time series

Best practices for bulletproof modeling

A better (Facebook) Prophet

Random Forest for predictive maintenance: Try harder

Machine learning for demand prediction: what works and what doesn’t

The basics of backtesting

The problem with deep learning and time series

What's so special about time series?

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