Think of a classification problem from your own experience and interest (e.g., distinguishing of things/living between types two beings/weather/personality/vehicle/industry/sports/houses/professionals etc.). Collect some real- world data to solve that classification problem. Have at least two classes, two attributes and at least 5 instances per class. Create a dataframe with this data and paste a screenshot of it. Also give a short description of the data (number of instances, number of attributes and the list of attributes, list of classes, and creator: Your name). The attributes should be numerical. The classification problem should be a new one, but the dataset may contain data that are new (generated by you by any rough measurements) or collected from public domain. Please cite the
Think of a classification problem from your own experience and interest (e.g., distinguishing of things/living between types two beings/weather/personality/vehicle/industry/sports/houses/professionals etc.). Collect some real- world data to solve that classification problem. Have at least two classes, two attributes and at least 5 instances per class. Create a dataframe with this data and paste a screenshot of it. Also give a short description of the data (number of instances, number of attributes and the list of attributes, list of classes, and creator: Your name). The attributes should be numerical. The classification problem should be a new one, but the dataset may contain data that are new (generated by you by any rough measurements) or collected from public domain. Please cite the
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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not an assignment, its a practice question for the real test
![Think of a classification problem from your own experience and interest (e.g., distinguishing
of
things/living
between
two
types
beings/weather/personality/vehicle/industry/sports/houses/professionals etc.). Collect some real-
world data to solve that classification problem. Have at least two classes, two attributes and at least
5 instances per class. Create a dataframe with this data and paste a screenshot of it. Also give a
short description of the data (number of instances, number of attributes and the list of attributes,
list of classes, and creator: Your name). The attributes should be numerical.
The classification problem should be a new one, but the dataset may contain data that are new
(generated by you by any rough measurements) or collected from public domain. Please cite the
references/sources from which you collect the data.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2cd2d665-daee-46b8-ac4c-2b4cec66538a%2F6d78b334-d553-472d-ac61-db9fb47b9eb4%2F8hmvfce_processed.png&w=3840&q=75)
Transcribed Image Text:Think of a classification problem from your own experience and interest (e.g., distinguishing
of
things/living
between
two
types
beings/weather/personality/vehicle/industry/sports/houses/professionals etc.). Collect some real-
world data to solve that classification problem. Have at least two classes, two attributes and at least
5 instances per class. Create a dataframe with this data and paste a screenshot of it. Also give a
short description of the data (number of instances, number of attributes and the list of attributes,
list of classes, and creator: Your name). The attributes should be numerical.
The classification problem should be a new one, but the dataset may contain data that are new
(generated by you by any rough measurements) or collected from public domain. Please cite the
references/sources from which you collect the data.
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