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 will not reflect that.

Frequency analysis, therefore, is computing the likelihood of a speci...

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. Normal (or Gaussian) Distribution: This distribution has the same standard deviation in all d...

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 concept in data science is called Statistical Features. It includes important measurements lik...

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.

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 even out a dataset.

Oversampling is a way to copy datasets to have the same number ...