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Stock Prediction Using various Machine Learning Algorithm 

1> Linear Regression 
	Libraries Used:- 
		* sklearn (train_test_split,Linear Regression,metrics)
		* pandas
		* numpy
		* matplotlib (pyplot)
	Used TataMotors stocks to predict future trends
	divided in 80/20 train/test ratio		
	
	 
	Result:-
		* mean_absolute_error = 2.89
		* mean_squared_error = 22.78
		* root_mean_squared_error = 4.77

	********************Not a good predicting algorithm*******************
2> Long Short Term Memory