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.