 The 5 Basic Statistics Concepts Data Scientists Need to Know - Deepstash

Statistics is using math to do technical analysis of data. Instead of guesstimating, data helps us get concrete and factual information.

The most widely used statistical con...

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A typical data set diagram (box plot) carries a lot of information.

1. If it is short, it means the data points are similar, but if it is tall, it implies there is a lot of range and vari...

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In data science, probability is the percent chance that something will happen. A zero(0) in this case means the event will not occur, while the digit 1 denotes that we are certain it will happen.

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The common probability distributions are:

1. Uniform Distribution: It is a simple off or on distribution, where anything outside the given range is 0.
2. No...

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The process of reduction in the number of dimensions (or feature variables) in datasets is known as Dimensionality Reduction.

If a cube has 1000 points, we can reduce its dimensionality by s...

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Sometimes if we want to compare two datasets, or classify datasets that have an uneven number of samples for different sides or types. Just by taking fewer samples (undersampling), one can...

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Based on the concept of probability, Bayesian Statistics computes and analyzes prior data to forecast the future trend. If there is a specific change in the present, the prior data...

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