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5 Basic Statistics Concepts Data Scientists Need to Know

Today, we’re going to look at 5 basic statistics concepts that data scientists need to know and how they can be applied most effectively, curated by Benjamin Libor

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CONCEPT DESCRIPTION TUTORIAL
1
Statistical Features Statistical features is probably the most used statistics concept in data science. It’s often the first stats...More youtube.com
1
Probability Distributions We can define probability as the percent chance that some event will occur. In data science this is commonly...More khanacademy.org
0
Dimensionality Reduction The term Dimensionality Reduction is quite intuitive to understand. We have a dataset and we would like to reduce the...More arxiv.org
0
Over and Under Sampling Over and Under Sampling are techniques used for classification problems. Sometimes, our classification dataset might...More youtube.com
0
Bayesian Statistics Fully understanding why we use Bayesian Statistics requires us to first understand where Frequency Statistics fails....More youtube.com
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CURATOR
Benjamin Libor

Creator behind Spreadshare, interested in design and content creation of all sorts. 

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