Machine Learning expert to implement simple ridesharing code (Python) – 3 days
Budget: $30 – $250 USD
I am looking for a Machine Learning/DQN expert with experience in Python to implement a simple ridesharing code. The project has a duration of 3 days.
Preferred Skills and Experience:
- Expertise in Python programming language
- Strong knowledge of Machine Learning and Deep Q-Networks (DQN)
- Experience in implementing advanced ridesharing algorithms
Project Requirements:
1. A lot of the work has been done in this Github repo:
https://github.com/marina-haliem/Dynamic-RideSharing-Pooling-Simulator
2. Implement the repo ensuring multiple passengers can use a single vehicle when it’s efficient to do so. Make changes only when very necessary, but focus on delivering a clear, usable output.
3. The project is about ridesharing (multiple passengers using single vehicle when feasible), not about the repo….the repo is just to help you so you don’t have to write all the code from scratch
4. Make sure your code generates an easily understandable *output* eg showing vehicle 1 picks up passenger 1, then picks up passenger 2, then drops of passenger 2 and finally passenger 1.
5. Since most (but not all) of the work has been done in the repo, the deadline for this is in 3 days (starting today, 24/10/2023 at about 8am UK time, and ending 8am UK time on 27/10/2023).
6. Do some training, generate a model, save the model and demonstarte it can take a simple input trips request file and produce a trips plan output.
7. See attached “Requirements.docx” for options of output format (output should be in CSV or Excel)
Preferred Skills and Experience:
- Expertise in Python programming language
- Strong knowledge of Machine Learning and Deep Q-Networks (DQN)
- Experience in implementing advanced ridesharing algorithms
Project Requirements:
1. A lot of the work has been done in this Github repo:
https://github.com/marina-haliem/Dynamic-RideSharing-Pooling-Simulator
2. Implement the repo ensuring multiple passengers can use a single vehicle when it’s efficient to do so. Make changes only when very necessary, but focus on delivering a clear, usable output.
3. The project is about ridesharing (multiple passengers using single vehicle when feasible), not about the repo….the repo is just to help you so you don’t have to write all the code from scratch
4. Make sure your code generates an easily understandable *output* eg showing vehicle 1 picks up passenger 1, then picks up passenger 2, then drops of passenger 2 and finally passenger 1.
5. Since most (but not all) of the work has been done in the repo, the deadline for this is in 3 days (starting today, 24/10/2023 at about 8am UK time, and ending 8am UK time on 27/10/2023).
6. Do some training, generate a model, save the model and demonstarte it can take a simple input trips request file and produce a trips plan output.
7. See attached “Requirements.docx” for options of output format (output should be in CSV or Excel)