Bayesian, Neural, Vector Machines Implementation in c#

Create prediction methods based on statistical algorithms Please make sure you can do coding in C#. I have an observation sequence of 3 digit numbers and I need to create 3 C# methods that analyse the sequence with one of 3 algorithms and give the outcome of next probable values. 3 algorithms to use: 1. Bayesian Network 2. Neural Network 3. Support Vector Machine For the outcome please use the structure: public class ProbableValue { int Number {get;set;} decimla Probability {get;set;} } where Number is the actual predicted number and probability is its probability to be the next in the sequence. e.g. need you to create 3 methods: public Array BayesianNetwork(Array[int] sequence) { // your code } public Array NeuralNetwork(Array[int] sequence) { // your code } public Array VectorMachine(Array[int] sequence) { // your code } the outcome of each method is an array of next probable values in descending order by probability (top 20). A bit more information about the number sets: lets pretend the nature of the number sets is random. You can use set of random numbers to test. If you could finish work in 1 WEEK, would be great!