Advanced ML Regression Task
Budget: €30 – €250 EUR
I need assistance with a regression task using multiple advanced algorithms. The task is based on a public dataset.
Key Requirements:
- Expertise in Neural Networks, Gradient Boosting, Random Forest, SVM, kNN, and XGBoost. Aim: obtain the smallest possible RMSE, without using leakage columns.
- Ability to preprocess and handle public datasets efficiently (MIMIC III dataset. I alresdy have the datasets).
- Experience in evaluating and tuning regression models for optimal performance.
- Knowledge of relevant libraries (e.g., TensorFlow, Scikit-learn, XGBoost).
Ideal Skills:
- Strong background in machine learning and statistics.
- Proficiency in Python.
- Previous experience with similar regression tasks.
Looking for someone who can deliver accurate and efficient solutions.
Key Requirements:
- Expertise in Neural Networks, Gradient Boosting, Random Forest, SVM, kNN, and XGBoost. Aim: obtain the smallest possible RMSE, without using leakage columns.
- Ability to preprocess and handle public datasets efficiently (MIMIC III dataset. I alresdy have the datasets).
- Experience in evaluating and tuning regression models for optimal performance.
- Knowledge of relevant libraries (e.g., TensorFlow, Scikit-learn, XGBoost).
Ideal Skills:
- Strong background in machine learning and statistics.
- Proficiency in Python.
- Previous experience with similar regression tasks.
Looking for someone who can deliver accurate and efficient solutions.