{"page":"\n\n
\n
\n
\n
\n
\n\nVideo\n
\n

\nData Science 🐍 Features\n

\n
\n
\nGet Free Access for 10 Days!\n
\n
\n
\n
\n
\n
×
\n\n\n
\n\nPublisher:\n\nAPMonitor\n\n\n
\n
\nFeatures are input values to regression or classification models. The features are inputs and labels are the measured outcomes. Classification predicts discrete labels (outcomes) such as yes/no, True/False, or any number of discrete...\nFeatures are input values to regression or classification models. The features are inputs and labels are the measured outcomes. Classification predicts discrete labels (outcomes) such as yes/no, True/False, or any number of discrete levels such as a letter from text recognition. An example of classification is to suggest a movie you will want to watch next (label) based on your prior viewing history (feature). Regression is different than classification with continuous outcomes such as any floating point number in a range. An example of regression is to build a correlation of the temperature of a pan of water (label) based on the time it has been heating (feature). The temperature values are continuous while the next movie is one of many discrete options. Features are used in classification and regression to predict an outcome.

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

\n
\n
\n\n
\n
\n
\n
\n

Resource Details

\n
\n
\n
\n
Curator Rating
\n
\n
\n
\n
\n
\n
Educator Rating
Not yet Rated
\n
\n
\n
\n
\n
Media Length
\n
24:12
\n
\n
\n
\n
\n
Grade
10th - Higher Ed
\n
\n
\n
\n
\n
Subjects
STEM
3 more...
\n
\n
\n
\n
\n
Media Type
Instructional Videos
\n
\n
\n
\n
\n
Source:
\n
\nAPMonitor.com\n\n
\n
\n
\n
\n
\n
Date
\n
2020
\n
\n
\n
\n
\n\n
Language
English
\n
\n
\n
\n
\n
Audiences
For Teacher Use
2 more...
\n
\n
\n
\n
\n
Usage Permissions
Fine Print: Educational Use
\n
\n
\n
\n
\n
\n

Additional Materials

\n
\n\nSign in or Join Now
\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" href=\"/subscription/new\">Video Transcript\n
\n
\n\nSign in or Join Now
\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" href=\"/subscription/new\">Video Preview\n
\n
\n
\n

Concepts

\n
\n
negative slope, data, values, correlation, temperature, volume, plot, inputs, data science, mining
\n
\n\n\n
\n
\n
\n
\n

Additional Tags

\n
\n
feature engineering, feature select, selectkbest, heat map, machine learning, tc lab, fit transform, numpy array, loss function, data frame, open price, 2nd derivative, equals, optimization, high, good, feature, scores, gecko, stock, volatility, case, classifiers, columns, correlated, true
\n
\n\n\n
\n
\n
\n
\n

Classroom Considerations

\n
Best For: Explaining a topic
Video is ad-free
\n
\n
\n

Educator Ratings

\n
\n
\n
\n
\n
\n\nShow resource details\n
\n
\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Data Science 🐍 Features\" href=\"/subscription/new\">\"Data\n\n
\n
\n
\n\n\n\n"}