Python programming with using ANNs modelling

Job Description:

Project requirement:

* Deadline: 2/3 days

1. Provide a set of prediction values of the total water footprint (WF) for industrial sector by using ANNs modelling and more specific with Python programming.

2. The dataset is provided in two groups;

2.1 Total WF for industrial sector of Panching Water Treatment Plant (WTP)

2.2 Total WF for industrial sector of Semambu Water Treatment Plant (WTP)

3. Predict the values of WF for 5 years later (2020 to 2025) and 10 years later (2026 to 2030)

3.1 Grey Water Footprint

3.2 Blue Water Footprint

3.3 Total Water Footprint

4. The output is need to be presented by graph and table including the interpretation.

5. If any doubt or do not understand regarding the dataset, please direct ask me

Beceriler: Python, Machine Learning (ML), Veri Madenciliği, Deep Learning

Müşteri Hakkında:
( 62 değerlendirme ) Balakong, Malaysia

Proje NO: #32532660

Bu iş için 8 freelancer ortalamada $31 teklif veriyor


Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav Daha Fazla

$20 USD in 7 gün içinde
(18 Değerlendirme)

Hi, I have +5 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, I absolutely can do your project as you like. Please contact me to discuss more. Have a nice day

$20 USD in 7 gün içinde
(10 Değerlendirme)

- previous experience in such topics ; - eager to discuss a lot in this chat stream ; - degree stats - maths ;

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(6 Değerlendirme)

Good morning sir. I am interested in your project. Sir I have skills that require for this project. I also have certificate in python programming language and Machine learning. I also have knowledge of data science and Daha Fazla

$15 USD in 7 gün içinde
(0 Değerlendirme)

Dear Concern, I have just noticed your well described project and discovered that it will be great pleasure for me working in this project. I have some concerns that - How large the training data ? - How much accura Daha Fazla

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