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.


Skills: Python, Statistics, Machine Learning (ML), Algorithm, Data Science

About the Client:
( 1 review ) Basel, Greece

Project ID: #33781648

21 freelancers are bidding on average €65 for this job


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