Outliers Detection (Ppt) | Best Business Analytics With Python Tutorial For Beginners | Henry Harvi

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This Henry Harvin video on “Outliers Detection” is a complete Outliers Detection tutorial for beginners who want to learn Outliers Detection.Some of the most popular methods for outlier detection are: Z-Score or Extreme Value Analysis (parametric) Probabilistic and Statistical Modeling (parametric) .
The simplest way to detect an outlier is by graphing the features or the data points. Visualization is one of the best and easiest ways to have an inference about the overall data and the outliers. Scatter plots and box plots are the most preferred visualization tools to detect outliers.

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