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.
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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
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.
Hi, I am Hassan,from Morocco, Industrial engineer and python developer, I will help you to do your project/assignment until to be satisfied you can trust on me. Contact me. Best regards.