1. Construct the DFA from the following RE using Direct Method (x | ɛ) (x* | y | z* | ɛ)* (y | z)*

In c++. Read all instructions.

TODO 13 Complete the following Standardization class. Recall that we want to compute the mean and STD for each column! Think about what value we need to set the 'axis' argument equal to in order to achieve this. In the fit() method, compute the mean of the input X using np.mean(). Store the output into the variable self.mean. In the fit() method, compute the STD of the input X using np.std(). Store the output into the variable self.std. In the transform() method, compute and return the standardization for the input X. In other words, convert the standardization general formula into code and return the output.   class Standardization(BaseEstimator, TransformerMixin):    def __init__(self):        pass        def fit(self, X, y=None):        # TODO 13.1        self.mean = np.mean(X)        # TODO 13.2        self.std = np.std(X)        # Always return self        return self        def transform(self, X):        # TODO 13.3        return    scale = Standardization()scaled_df =…

Implement a java project to help in the study analysis with the following steps:• Read from the user the number of cities (minimum 6 cities.)• For each city: city name and the number of persons (minimum 10 persons) are entered.• For each person in a city: mass and height should be entered, BMI and BMI category have to becomputed and printed.• For each city, the number of persons and percent ratio in each BMI category should be computedand printed