Optimization of regression models:
Describe various aspects of machine learning training for regression training such as cost function, Gradient Descent, and Bias-Variance Tradeoff. The initial post must be between 250-300 words in length.
Nutrition Case Study:
The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for kNN, Random Forest and XGBoost techniques predicting the response variable in the Nutrition case study. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes.
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