Regression - Features and Labels

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import pandas as pd
import quandl
df = quandl.get("WIKI/GOOGL")
df['HL_PCT'] = (df['Adj. High'] - df['Adj. Low']) / df['Adj. Close'] * 100.0
df['PCT_change'] = (df['Adj. Close'] - df['Adj. Open']) / df['Adj. Open'] * 100.0
df = df[['Adj. Close', 'HL_PCT', 'PCT_change', 'Adj. Volume']]
print(df.head())
 
 
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import quandl, math
import numpy as np
import pandas as pd
from sklearn import preprocessing, svm
from sklearn.model_selection import cross_validate
from sklearn.linear_model import LinearRegression
 
 
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