Skip to content

Business Problem: Oil price may fluctuate time to time based on more factors technical economical and natural as well as political so the forecasting may not be influenced by these some unexpected scenarios like Geopolitical issues (e.g.: War and Oil price Cap).

Notifications You must be signed in to change notification settings

VaibhavDongre1311/End_to_end_oil_price_Forcasting_project

Repository files navigation

Oil_Price_Forecasting

Crude oil Price forecasting

Business Objective: Oil price may fluctuate time to time based on more factors technical economical and natural as well as political so the forecasting may not be influenced by these some unexpected scenarios like Geopolitical issues (e.g.: War and Oil price Cap)

Data Set Details: Oil is a product that goes completely in a different direction for a single market event as the oil prices are rarely based on real-time data, instead, it is driven by externalities making our attempt to forecast it even more challenging .As the economy will be highly affected by oil prices our model will help to understand the pattern in prices to help the customers and businesses to make smart decisions!

Introduction

In this Project for Time Series Analysis and Forecasting Each step taken like EDA, Feature Engineering, Model Building, Model Evaluation and Prediction table, and Deployment. Explaining which model to select on basis of metrics like RMSE, MAPE and MAE value for each model. Finally explaining which model we will use for Forecasting.
Better accuracy in short-term forecasting is required for intermediate planning for the target to reduce CO2 emissions. High stake climate change conventions need accurate predictions of the future emission growth path of the participating organization to make informed decisions. Exponential techniques, Linear statistical modeling,Autoregressive models and LSTM model are used to forecast the emissions and the best model will be selected on these basis

  • 1.) Minimum error
  • 2.) Low bias and low variance trade off


This project is part of Data Science internship at AiVariant

Contact me by

Name 💌Email Adress
Vaibhav Dongre vaibhavdongre13@gmail.com
image
image
image
image
image

Author

 vaibhavdongre13@gmail.com

About

Business Problem: Oil price may fluctuate time to time based on more factors technical economical and natural as well as political so the forecasting may not be influenced by these some unexpected scenarios like Geopolitical issues (e.g.: War and Oil price Cap).

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published