Python Programmer for ML Algorithm Development
Budget: €250 – €750 EUR
I'm looking for a talented Python programmer who can create a stack ensemble using multiple machine learning algorithms. The successful freelancer will:
- Develop a stack ensemble using:
- Random Forest (RF)
- Support Vector Machine (SVM)
- Logistic Regression (LR)
- K Nearest Neighbor (KNN)
- Naive Bayes
- Compare the output through voting with a trained Artificial Neural Network (ANN).
I am seeking a freelancer who has a deep understanding of these algorithms, can showcase their ability to deploy them effectively and explain their approach in a detailed project proposal. The proposed solution should provide comprehensive code implementation and commentary explaining the methods used and their effectiveness.
Dataset Utilization:
- The KDD-NSL dataset
- The UNSW-NB15 dataset
Skills and Experience:
- Proficiency in Python programming
- Extensive experience with the specified ML algorithms
- Proven track record in creating stack ensembles
- Solid understanding of Artificial Neural Networks
- Prior experience working with the stated datasets is favorable
I look forward to receiving detailed, proposed methods and implementations.
- Develop a stack ensemble using:
- Random Forest (RF)
- Support Vector Machine (SVM)
- Logistic Regression (LR)
- K Nearest Neighbor (KNN)
- Naive Bayes
- Compare the output through voting with a trained Artificial Neural Network (ANN).
I am seeking a freelancer who has a deep understanding of these algorithms, can showcase their ability to deploy them effectively and explain their approach in a detailed project proposal. The proposed solution should provide comprehensive code implementation and commentary explaining the methods used and their effectiveness.
Dataset Utilization:
- The KDD-NSL dataset
- The UNSW-NB15 dataset
Skills and Experience:
- Proficiency in Python programming
- Extensive experience with the specified ML algorithms
- Proven track record in creating stack ensembles
- Solid understanding of Artificial Neural Networks
- Prior experience working with the stated datasets is favorable
I look forward to receiving detailed, proposed methods and implementations.