Answers for "train)test_split"

train test split sklearn

from sklearn.model_selection import train_test_split

X = df.drop(['target'],axis=1).values   # independant features
y = df['target'].values					# dependant variable

# Choose your test size to split between training and testing sets:
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)

train test split

from sklearn.linear_model import LinearRegression

rl = LinearRegression().fit(X, y)
rl.fit(X, y) #We can fit model to dataset in this way too