Question: table [ [ 1 , AT , V , AP , RH , PE ] , [ 2 , 1 4 . 9 6

\table[[1,AT,V,AP,RH,PE],[2,14.96,41.76,1024.07,73.17,463.26],[3,25.18,62.96,1020.04,59.08,444.37],[4,5.11,39.4,1012.16,92.14,488.56],[5,20.86,57.32,1010.24,76.64,446.48],[6,10.82,37.5,1009.23,96.62,473.9],[7,26.27,59.44,1012.23,58.77,443.67],[8,15.89,43.96,1014.02,75.24,467.35],[9,9.48,44.71,1019.12,66.43,478.42],[10,14.64,45,1021.78,41.25,475.98],[11,11.74,43.56,1015.14,70.72,477.5],[12,17.99,43.72,1008.64,75.04,453.02],[13,20.14,46.93,1014.66,64.22,453.99],[14,24.34,73.5,1011.31,84.15,440.29],[15,25.71,58.59,1012.77,61.83,451.28],[16,26.19,69.34,1009.48,87.59,433.99],[17,21.42,43.79,1015.76,43.08,462.19],[18,18.21,45,1022.86,48.84,467.54],[19,11.04,41.74,1022.6,77.51,477.2],[20,14.45,52.75,1023.97,63.59,459.85],[21,13.97,38.47,1015.15,55.28,464.3],[22,17.76,42.42,1009.09,66.26,468.27],[23,5.41,40.07,1019.16,64.77,495.24],[24,7.76,42.28,1008.52,83.31,483.8],[25,27.23,63.9,1014.3,47.19,443.61],[26,27.36,48.6,1003.18,54.93,436.06],[27,27.47,70.72,1009.97,74.62,443.25],[28,14.6,39.31,1011.11,72.52,464.16],[29,7.91,39.96,1023.57,88.44,475.52],[30,5.81,35.79,1012.14,92.28,484.41],[31,30.53,65.18,1012.69,41.85,437.89],[32,23.87,63.94,1019.02,44.28,445.11],[33,26.09,58.41,1013.64,64.58,438.86],[34,29.27,66.85,1011.11,63.25,440.98],[36,27.38,74.16,1010.08,78.61,436.65],[24.81,63.94,1018.76,44.51,444.26,],[,12.75,44.03,1007.29,89.46,465.86],[,24.66,63.73,1011.4,74.52,444.37]]PART B) Instructions for Support Vector Regression.
Import the Libraries.
Import the Dataset.
Split the dataset into training and test set.
Perform Feature scaling.
Train the SVR model on the train set.
Predict the Test result set.
Evaluate the Model Performance.
\ table [ [ 1 , AT , V , AP , RH , PE ] , [ 2 , 1

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