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TESLA STOCK-MARKET-PREDICTION USING PYTHON(REGRESSION MODEL)

OVERVIEW

Based on some training inputs like open value,high & low values the accuracy of the closing price of stock market for particular date of time(issued) is calculated.For this I used Linear Regression model (ML model).These accuracy will enhance profit in shares of a company by deep insights of past and live demands rather it prevents stock holders from loss.

LIBRARIES

Pandas Numpy Matplotlib Seaborn LinearRegression.