Time series forecasting with Python


I would need a comparison of four different models for a time series forecasting project. The four algorithms that need to be implemented are

- Fast Fourier Transform Forecasting model (FFT)

- Theta model

- Multi layer perceptron model (MLP)

- Convolutional Neural Network model (CNN)

I want the prediction on an hourly resolution. The single variable which needs to be forecasted is the PM25 value from the attached dataset. PM 2.5 refers to a category of particulate pollutant.

The implementation should be in python using a jupyter notebook.


Навыки: Python, Статистика, Machine Learning (ML), Алгоритмы, Анализ и обработка данных

О клиенте:
( 1 отзыв ) Basel, Greece

ID проекта: #33781648

21 фрилансеров(-а) готовы выполнить эту работу в среднем за €65


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Hello sir ! I have an engineer degree in Data science with more than 9 years of professional experience in python . I have a strong background in time series modelling and forecasting. I can start now Regards

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Time series forecasting with Python. As 9+ years experiences in these field. I can give good quality work. I have read the guidelines of your work.I believe that i can provide you the best quality works you are antici Больше

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Hi. I have lots of experience in Python, Time series forecasting, statistics, math. I will guarantee the quality of the job. I hope you give me a chance to work with you. Please kindly message me. Thank you.

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(9 отзывов(-а))

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Hello there I have gone through your requirements and believe that I can help you with the comparison of predictions of algorithms like FTT, CNN, Theta model and MLP. Having a hands-on experience of 2.6 years, I have g Больше

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