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@amankharwal
Created January 26, 2021 08:38
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targets = targets/maxValLikes
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
xTrain, xTest, yTrain, yTest = train_test_split(features, targets, test_size = 0.1, random_state = 42)
stdSc = StandardScaler()
xTrain = stdSc.fit_transform(xTrain)
xTest = stdSc.transform(xTest)
from sklearn.ensemble import GradientBoostingRegressor
gbr = GradientBoostingRegressor()
gbr.fit(xTrain, yTrain)
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