The goal is to develop a simple model based on machine learning model either supervised or u supervised that will detect non technical loss which are due to fraud or anomalies.
The methodology will be developed and tested for acurancy.
I will provide data from the smart meters.
What you are required to do is.
1. Develop machine learning model that will detect NTL.
2. Develop a sample sheet of the required dataset. (I will provide SMART METER data from the customer end)
3. The method after testing should provide(out) label as theft / suspicious / no theft
Bu iş için 12 freelancer ortalamada $76 teklif veriyor
I'm a senior Python & ML developer and owner & founder of Dedeoglu Dev Company. Kindly send me a message to get in touch with me, Thanks, Yusuf.
Hello, I am a machine learning expert. I had worked with multiple deep learning librairies (Tensorflow, Pytorch,...). I had already done some anomalie detection projects (detect logs anomalie, fingerprint anomalie dete Daha Fazla
Hey! I am a data scientist and I can help you with training and testing the model with various techniques along with performing grid search to tune the hyperparameters to reach the best performance
I have experience in supervised machine learning algorithm data. I will be using open source tool for analysis the data required with attribute list can be provided.