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\nData Science 🐍 Interpolation\n

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\nInterpolation constructs new prediction points from a discrete set of known data points. There are many types of interpolation such as nearest neighbor (piecewise constant), linear, polynomial, cubic spline, and basis spline. In...\nInterpolation constructs new prediction points from a discrete set of known data points. There are many types of interpolation such as nearest neighbor (piecewise constant), linear, polynomial, cubic spline, and basis spline. In interpolation, the data provide the shape of the approximate function, with piecewise or higher-order polynomial equations to exactly match the data points at those given discrete locations.

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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20:22
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Grade
10th - Higher Ed
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Subjects
Social Studies & History
5 more...
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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
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Usage Permissions
Fine Print: Educational Use
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Additional Materials

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Concepts

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derivatives, temperature, range, data, plot, values, data science, correlation, linear
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Additional Tags

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interpolate, connect, cubic spline, polynomial, python, interp 1d, local minima, poly fit, cubic polynomial, 2d interpolation, entire range, original function, linear interpolation, data points, interpolation function, spline, points, interpolation, splines, function, nearest, error, squared, continuous, kind, maximum, predict
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Classroom Considerations

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Best For: Explaining a topic
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