If a feature has a highly skewed distribution, then which of the following transformations should be used to transform the data?Select an option Clear ResponseBinningLog TransformationsGeometric Means TransformationStandard Scaling

13. A data analyst is developing a machine learning model to predict the sales revenue to be generated by each product being sold by a grocery shop. The training dataset has a lot of numeric variable that have different distributions as well las feature ranges. He was advised that he should use numeric transformations to transform the numeric features. Which of the following statements is/are true regarding some numeric transformations? Select all true.Yeo Johnson tranformation result in errors when the numeric feature contains negative valuesYeo Johnson transformation works on both negative and positive numbersBox Cox transformation result in errors when the numeric feature contains negative valuesBoth Cox Cox and Yeo Johnson transformation give error when the numeric values are floatsBoth Box Cox and Yeo Johnson transfomation transform the numeric fetures to normal distribution

Which of the following perspective changes are allowed by a rigid transformation?0.8 / 1 pointtranslationrotationCorrectYes, a rigid transformation allows for changes in rotation.scalesheartilt

The skewness of the Normal distribution is ______.

If the shape of a frequency distribution is lopsided, with a long tail projecting longer to the left than to the right, how would the distribution be skewed?Choose onenormallynegativelypositivelyaverage

If the shape of a frequency distribution is lopsided, with a long tail projecting longer to the right than to the left, how would the distribution be skewed?Choose onenormallynegativelypositivelyaverage