sadaksh / Oil_Price_Analytics

Multivariate_Oil_Price_Prediction_Using_Deep_Learning_(LSTM,GRU)

Problem Type

Time Series Forecasting Problem-Solved Using LSTM and GRU.

Result Metrics

Mean Squared Error(MSE),Mean Absolute Error(MAE), R2 Score.

Actionable Insight

Understanding behaviour of Oil price and whether to invest it in or not.

Tools & Libraries Used

• Python 3.6
• Pandas
• Matplotlib
• Sklearn
• Seaborn
• Statsmodels
• Scipy
• Keras with Tensorflow Backend
• Plotly

Credits/Resources

-https://www.investing.com/

-https://finance.yahoo.com/

-https://towardsdatascience.com/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21

-https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/

-https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/