Using ANNs modelling with Python programming
Budget: $10 – $30 USD
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.
6. Please do not share the dataset to anyone or anywhere because it is very confidential that involves raw data from the government agencies.
* 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.
6. Please do not share the dataset to anyone or anywhere because it is very confidential that involves raw data from the government agencies.