Machine-learning/LinearRegression.py at master · AtulRaina/Machine-learning · GitHub

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# -*- coding: utf-8 -*-
"""
Created on Wed Jul 11 00:23:53 2018

@author: atulr
"""

import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets, linear_model
import pandas as pd


df= pd.read_csv('./Stockdata/ethi.csv')


X=df["Open"]
Y=df["Close"]


dim= df.shape[0]

print(dim)

per=( .7 *dim)
print(per)

# Split the data into training/testing sets
X_train = X[:0,1]
X_test = X[:,1]

# Split the targets into training/testing sets
Y_train = Y[:,18]
Y_test = Y[:,18]

regr = linear_model.LinearRegression()

# Train the model using the training sets
regr.fit(X_train, Y_train)

# Plot outputs
p=regr.predict(X_test)