Time series forecasting with multiple exogenous variables

$10-30 USD

In Progress

Posted

over 3 years ago

$10-30 USD

Paid on delivery

The dataset has around 25 variables. Out of which there is a target variable 'Y' which is to be forecasted. The other 24 variables are exogenous variables which effect the target variable 'Y'. The data is in Quarterly format. The forecasted window is 1 year i.e 4 quarters.

Statistical Analysis

Python

Financial Forecasting

Data Science

Machine Learning (ML)

Project ID: 28419281

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5 proposals

Remote project

Active 3 yrs ago

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5 freelancers are bidding on average $28 USD for this job

@shish1992

hi..I have checked your Time series forecasting with multiple exogenous variables project carefully, and i believe i am the right candidate for the job. Thanks

$20 USD in 7 days

4.9

(36 reviews)

5.4

@rochaksharma7

Hello sir. Your project attracted my attention at first glance, because I've extensive experience in Python, Machine Learning Programming, NLP, AI. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Looking forward to your response. Best Regards.

$30 USD in 4 days

5.0

(30 reviews)

4.4

@pranavjandu3

First have to convert time series data as supervised model by preprocessing and then apply LSTM for forecasting. I can help you with this project as I have worked with time series dataset before. Let's chat to discuss more. I'm a software engineer with specialization in python and PHP.

$30 USD in 2 days

5.0

(17 reviews)

4.5

@sweethroo

I am passionate about Data Science and Visualising Data to find insights which normally people do not see. I feel excited to see how well my model learns after every iteration.

$30 USD in 5 days