instagram.py

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)