Descriptive Statistics in Python
Equal Frequency Binning in Python
In statistics, binning is the process of placing numerical values into bins.
The most common form of binning is known as equal-width binning, in which we divide a...
Descriptive Statistics in Python
How to Create Frequency Tables in Python
A frequency table is a table that displays the frequencies of different categories. This type of table is particularly useful for understanding the distribution of values...
Data Visualizations in Python
How to Make a Bell Curve in Python
A “bell curve” is the nickname given to the shape of a normal distribution, which has a distinct “bell” shape:
This tutorial explains how to make...
Hypothesis Tests in Python
How to Conduct a Wilcoxon Signed-Rank Test in Python
The Wilcoxon Signed-Rank Test is the non-parametric version of the paired samples t-test.
It is used to test whether or not there is a significant...
Python
How to Calculate Mean Squared Error (MSE) in Python
The mean squared error (MSE) is a common way to measure the prediction accuracy of a model. It is calculated as:
MSE = (1/n) * Σ(actual – prediction)2
where:
Σ –...
Hypothesis Tests in Python
How to Conduct a Paired Samples T-Test in Python
A paired samples t-test is used to compare the means of two samples when each observation in one sample can be paired with an...
Python
How to Calculate MAPE in Python
The mean absolute percentage error (MAPE) is commonly used to measure the predictive accuracy of models. It is calculated as:
MAPE = (1/n) * Σ(|actual – prediction| /...
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