You will get Dimensionality reduction and feature selection with classical and AI models
Project details
Using different approaches and suggesting new methods for reducing the dimensionality of data. These methods could be the classical algorithms or could be methods based on AI and also a combination of both.
I have worked with different algorithms that could help with feature selection to get high performance at the end with fewer features.
I have worked with different algorithms that could help with feature selection to get high performance at the end with fewer features.
Machine Learning Tools
Python, PyTorch, scikit-learn, SciPyWhat's included $50
These options are included with the project scope.
$50
- Delivery Time 5 days
- Number of Revisions 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Mahmoud
researcher, reader
Giza, Egypt - 6:06 am 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.
Pre-processing of data and removing any abnormalities
Picking algorithm for reducing dimensionality or feature selection