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Name :- Siddharth Nahar
Entry No :- 2016csb1043
Date :- 27/8/18

Sys Requirement :- Python 3.x,Anaconda 3.x

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/* To Run the Code */

Usr:/~Dir cd LinearRegression
Usr:/~Dir python linearRegression.py

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*Output :-

*It chosses 100 Fractions and 20 lambda values

For Task 7 : 

	-It creates 100 graph corresponding to each fraction and each graph plots Test Error and Train error for each lambda
	- It saves the plots in directory

For Task 8 :

	-It calculates minimum Test Error for each Fraction and Plots the graph
	-It also stores alpha corresonding to minimum error and plots fraction vs Lambda value

	-It creates two graphs as described and stores in directory

For Task 9 :

	-It plots Predicted vs Actual Values for best model
	-Best Model is chosen as pair of fraction and lambda for which TrainError is minimum

	-All points comes across 45 degree lines
	-It creates two grah for training and Test and Stores it.

*Many different Graphs are observed for Task 8 and Task 7 shown in Report

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