IN MATLAB - First right answer will receive thumbs up immediately

2. Fish classification [MATLAB]: Consider a two class fish classification problem, where the goal is to determine if a given fish is salmon or sea-bass. You are provided with two training datasets, corresponding to the lengths of the fishes. The first one is with 100 training samples each, while the second one is with 10000 training samples. (a) Estimate the likelihood distributions pw) andw2), assuming them to be Gaussian distri- butions Specifically, determine the maxim ikelihood estimates of the parameters of the likelihood distributions 1, 2, 1, and 2 for each dataset. (b) With these estimates, plot the Bayes classifier 2. Fish classification [MATLAB]: Consider a two class fish classification problem, where the goal is to determine if a given fish is salmon or sea-bass. You are provided with two training datasets, corresponding to the lengths of the fishes. The first one is with 100 training samples each, while the second one is with 10000 training samples. (a) Estimate the likelihood distributions pw) andw2), assuming them to be Gaussian distri- butions Specifically, determine the maxim ikelihood estimates of the parameters of the likelihood distributions 1, 2, 1, and 2 for each dataset. (b) With these estimates, plot the Bayes classifier