How to Make a Bell Curve in Python
The normal distribution is informally called a bell curve because it has bell shape structure. In this article, we will discuss …
Statistics
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How to Calculate SMAPE in Python
The Symmetric mean absolute percentage error (SMAPE or sMAPE) is used to measure accuracy based on percentage errors for dataset. …
How to Calculate MAPE in Python
The mean absolute percentage error (MAPE) or mean absolute percentage deviation (MAPD) is used to measure prediction accuracy for a …
How to Calculate Rolling Correlation in Python
Correlation are very much helpful for model prediction or forecasting if there is relationship exists. Rolling correlations are correlations between …
How to Generate a Normal Distribution in Python
The normal distribution is continuous probability distribution for real values random variables whose distributions are not known. It is one …
How to Calculate Binomial Distribution in Python
The binomial distribution is the basis for popular binomial test in statistics. The binomial distribution probability distribution that summarize about …
How to Calculate Mean Squared Error (MSE) in Python
Mean squared error (MSE) of an estimator measures the average of the squared errors, it means averages squared difference between …
How to Calculate Root Mean Squared Error (RMSE) in Python
The root mean squared error (RMSE) is used to measured the differences between values predicted by the model and observed …
How to Calculate Autocorrelation in Python
Autocorrelation measures the degree of same variable correlation in time series and lagged version of the value of a variable. …