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
12 freelances font une offre moyenne de 76 $ pour ce travail
Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp Plus
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.
Hi, I am python expert and I have designed custom algorithms for maximum efficiency. I can easily implement OOP concepts in your project. My expertise is in Machine Learning. I have deep understanding of python and MYS Plus
Dear employer, I noticed your project ' Detecting Non-Technical loss(NTL) in electrical distribution through Machine Learning Applied techniques ' which can be achieved completely without a delay. Being a machine learn Plus
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 Plus
I am a data entry expert professional. I have great speed and i do work without any mistake. my forte is,that I achieve [login to view URL] written and verbal communication skills and a strong desire to work hard and pe Plus
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
Hello, I am Siri Chandana I am from India, iam a data entry operator I am a 94% accuracy speed in typing I am a excellent professional in Word,MS Office, Excel, data entry, web search, data processing, PDF, and other, Plus
Hello I Abrar Qadir with graduation and post gradution with specialization in electrical engineering have knowledge about the given project. I can do this by fully applying my knowledge and skills with zero possbility Plus
I have 5+ years of work experience in field of Data Science. I have gained expertise in Deep Neural network tools, Machine Learning, Transfer learning and various AI/ML python libraries used across NLP and Computer vi Plus
I am GCP certified ML engineer , currently working as a Data Scientist. Check out my bio for more info.
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.