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Hands-On Data Analysis with Pandas
book

Hands-On Data Analysis with Pandas

by Stefanie Molin
July 2019
Beginner to intermediate
740 pages
16h 52m
English
Packt Publishing
Content preview from Hands-On Data Analysis with Pandas

Sampling

There's an important thing to remember before we attempt any analysis: our sample must be a random sample that is representative of the population. This means that the data must be sampled without bias (for example, if we are asking people if they like a certain sports team, we can't only ask fans of the team) and that we should have (ideally) members of all distinct groups from the population in our sample (in the sports team example, we can't just ask men).

There are many methods of sampling. You can read about them, along with their strengths and weaknesses, here: https://www.khanacademy.org/math/statistics-probability/designing-studies/sampling-methods-stats/a/sampling-methods-review.

When we discuss machine learning in Chapter ...

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Publisher Resources

ISBN: 9781789615326