How much data is needed for machine learning?
How much data is needed for machine learning? Data Science Project
Machine Learning basics

How much data is needed for machine learning?

In this lab, we'll explore the factors that influence the amount of data required for an Machine learning project, strategies to reduce the amount of data needed, and tips to help you get started with smaller datasets.
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How much data is needed for machine learning?How much data is needed for machine learning?
Project Created by

Verónica Barraza

Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.

multiplechoice

True or False: Having a large dataset guarantees high data quality

multiplechoice

True or False: Data quality is a subjective term and does not have a universally agreed-upon definition

multiplechoice

Scenario Question

You are working on a project to predict student performance based on various factors such as study hours, attendance, and extracurricular activities. The dataset you have includes information about these features for each student.

In this scenario, what would be an example of a high-quality dataset ?

A. A dataset with accurate and up-to-date information about study hours, attendance, and extracurricular activities for a diverse set of students.

B. A dataset with study hours as the only feature for a small subset of students.

C. A dataset with random and inconsistent entries for study hours, attendance, and extracurricular activities.

D. A dataset with missing values for most of the entries related to study hours, attendance, and extracurricular activities.

Please select the most appropriate option and provide reasoning for your choice.

How much data is needed for machine learning?How much data is needed for machine learning?
Project Created by

Verónica Barraza

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Machine Learning basics

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