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Time Series
Machine Learning for Time Series Data

Machine Learning for Time Series Data

Machine LearningModelingTime Seriesposted by Jacey Heuer February 18, 2020

Most organizations generate time-series data. The generation of sales data and financial data are primary components of all organizations’ business. This data is a form of time series data. Time series data consists of any data that carries a temporal component with it. Time series data... Read more
A Practitioner’s Guide To Interrupted Time Series

A Practitioner’s Guide To Interrupted Time Series

Modelinginterrupted time seriesTime Seriesposted by Leihua Ye February 7, 2020

In the world of causal inference, Randomized Controlled Trials, RCTs, are considered the gold standard as it rules out any covariate differences before the intervention. However, running an RCT isn’t an option for multiple reasons (e.g., too expensive, invalid assumptions, too long, not ethical, etc.). [Related... Read more
Interpreting the 2020 Puerto Rico Earthquake Swarm with Data Science

Interpreting the 2020 Puerto Rico Earthquake Swarm with Data Science

Data VisualizationModelinggoogle trendsTime Seriesposted by Juan De Dios Santos January 26, 2020

Using visualizations, maps, time series and Google Trends data science, Puerto Rico earthquakes are described. Since late December 2019 until early January 2020, the southwestern region of the island Puerto Rico has been experiencing a series or swarm of earthquakes, leaving in its wake a trail... Read more
Discovering 135 Nights of Sleep with Data, Anomaly Detection, and Time Series

Discovering 135 Nights of Sleep with Data, Anomaly Detection, and Time Series

ModelingPythonRStatisticsTools & Languagesanomaly detectionTime Seriesposted by Juan De Dios Santos November 4, 2019

In this article, I look at data from 135 nights of sleep and use anomaly detection and time series data to understand the results. Three things are certain in life: death, taxes, and sleeping. Here, we’ll talk about the latest. Every night*, us humans, after a... Read more
Reading Tea Leaves: Principles of Predictive Analytics and the Path to Time-Series Predictions

Reading Tea Leaves: Principles of Predictive Analytics and the Path to Time-Series Predictions

Featured PostModelingODSC SpeakerPredictive AnalyticsPredictive ModelingTime Seriesposted by Scott Haines January 31, 2019

Scott is presenting at ODSC East 2019 this May in Boston! Check out his workshop “Real-ish Time Predictive Analytics with Spark Structured Streaming.” With the advent of so many wonderful open-source tools and frameworks for machine learning & deep learning,  it can sometimes be difficult to... Read more
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