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\nData Science 🐍 Time Series\n

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\n\nPublisher:\n\nAPMonitor\n\n\n
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\nTime series data is produced sequentially as new measurements are recorded. Models derived from the data give insight into what happens next. They also show how the system can be changed to achieved a different future outcome. Time...\nTime series data is produced sequentially as new measurements are recorded. Models derived from the data give insight into what happens next. They also show how the system can be changed to achieved a different future outcome. Time series models are a representation of a dynamic system in discrete time. Putting a model into time series form is the basis for many methods in dynamics and control. A digital twin is a virtual representation of a process that runs in parallel to the physical system. A time series model can be considered a digital twin in the narrow definition of just specific inputs and outputs included in the model. Time series models are used for identification and control such as Model Predictive Control. Specific types of time-series and dynamic models are ARX (Auto-Regressive eXogenous inputs), Discrete State Space, and Continuous State Space models.

Course Modules
1. Data Science 🐍 Course Overview
2. Data Science 🐍 Import / Export
3. Data Science 🐍 Analyze
4. Data Science 🐍 Visualize
5. Data Science 🐍 Prepare Data
6. Data Science 🐍 Regression
7. Data Science 🐍 Features
8. Data Science 🐍 Classification
9. Data Science 🐍 Interpolation
10. Data Science 🐍 Solve Equations
11. Data Science 🐍 Differential Equations
12. Data Science 🐍 Time Series
Data Science 🐍 Final Project

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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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12:01
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Grade
10th - Higher Ed
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Subjects
STEM
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Media Type
Instructional Videos
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Source:
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\nAPMonitor.com\n\n
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Date
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2020
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Language
English
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Audiences
For Teacher Use
2 more...
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Usage Permissions
Fine Print: Educational Use
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Concepts

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time, data, values, coefficients, temperature, parameters, finite, dynamics
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Additional Tags

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gekko, time series, arx, impulse, response, regression, python, dmc, model predictive control, matrix form, target range, time step, step, model, times, predict, based, started, input, heater, turns, change, kind, rise, coefficient, continue, plug, read, import, create, adjust
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Classroom Considerations

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Best For: Explaining a topic
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