Select the best feature using anova for machine learning

OUTLINE: Introduction An important point in ANOVA Types of ANOVA Calculation of on way ANOVA Assumption in ANOVA Python example Conclusion Introduction of ANalysis Of VAriance (ANOVA):   Feature selection is one of the most critical tasks in machine learning that greatly impacts the performance of the model. The selection of irrelevant features not only reduces the accuracy of the model but also consumes more resources. Let’s say we have a high dimensional dateset. The very next challenge will be selecting the best features for the model. We have to select only those features that are non-correlated among themselves at

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