You will get Outliers detection and correction
Project details
I would work with new methods for detecting outliers. For smaller and easy datasets we could use classical approaches. I would also evaluate whether we could correct the outliers to maximise the performance. Could use new methods on large datasets, for example, could use a variational auto-encoder or generative models for this king of detection.
Machine Learning Tools
Keras, NumPy, pandas, Python, PyTorch, scikit-learn, SciPy, TensorFlowWhat's included $40
These options are included with the project scope.
$40
- Delivery Time 5 days
- Number of Revisions 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Mahmoud
researcher, reader
Giza, Egypt - 11:08 pm local time
Steps for completing your project
After purchasing the project, send requirements so Mahmoud can start the project.
Delivery time starts when Mahmoud receives requirements from you.
Mahmoud works on your project following the steps below.
Revisions may occur after the delivery date.
Choosing dataset in case there is not dataset
Determining a suitable algorithm for detecting outliers