Machine Learning Linear Regression In this post, we will learn Machine Learning Techniques Linear Regression using in Python. Requirement For this tutorial, following library should be installed in your system. Pandas Quandl numpy sklearn Linear Regression: Taking continuous data and fitting a best possible function in it. References : Linear Regression Regression identifying data-set and importing it and making it into useful format. Code snippet used in video: import pandas as pd import quandl import math df=quandl.get('WIKI/GOOGL') df=df[['Adj. Open', 'Adj. High', 'Adj. Low', 'Adj. Close', 'Adj. Volume']] df['HL_PCT']=(df['Adj. High']-df['Adj. Close'])/df['Adj. Close']*100.00 df['PCT_Change']=(df['Adj. Close']-df['Adj. Open'])/df['Adj. Open']*100.00 df=df[['Adj. Close','HL_PCT',...