├── README.md
└── Stock_Price_Prediction.ipynb


/README.md:
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 1 |                                                                Time-Series
 2 |   Problem Statement:Predicting the Bajaj Finance stock price From Jan2019 to Dec2019(monthly stock price) based on the  stock prices of Bajaj Finance stock price from Jan 2015 to December 2018.
 3 |   
 4 |   Analysis is done on Open price.
 5 |   
 6 |   EDA:Seasonal decomposition,Stationarity test.
 7 |   
 8 |   Models Used:ARIMA,Simple Exponential Smoothing,Holt's Model,Holt's Winter Model,Linear Regression,Random Forest Regressor,Support Vector Machine Regressor
 9 |   
10 |   Metrics Used:RMSE(Root Mean Squared Error)
11 |   
12 |   Best Model:Linear Regression
13 | 


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