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Instructions Using the given data set(data.csv), should create 2 algorithms (KNN and Gaussian Process) - data.csv The first column to 21st column are the input data. with this input data, should predict 22nd column. |column1 to column21| : input |column22| : output -KNN need to build a KNN regressor algorithm with python. You cannot use any direct implementation modules such as scikit-learn or any similar modules. You should explain and code each process (equations) and compute the performance. -Gaussian Process regression need to build Gaussian Process regression with python. Same as KNN, you cannot user direct implementation modules such as Gpy and any similar modules. You should explain and code each process (equations) and compute the performance. ------For both algorithms, definitely can use pandas, numpy, scipy...