1. Implement the Forward algorithm in Python. Your task is to write code for the following prototype: def Forward(A,B,Pi,O) : 2. return forward Probability # P(O|^) Test this implementation using the hand-calculated results for question 1. The results produced by your Python code must match the hand-calculated results.

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 =…

In this assignment, you are going to write a C program to solve the general k2 − 1 puzzle. Your program will read an initial state for a k × k table, calculate (preferably minimum number of) steps taking player from initial state to the goal state, and print the solution into an output file. Implement BFS

Python Programming