End-to End MLOps Project | Model trainer Component

In this video, we dive into the critical component of model training within an end-to-end MLOps project. Learn how to train a machine learning model using the XGBoostRegressor, understand the importance of various hyperparameters, and see the process of saving the trained model. This step-by-step guide will enhance your understanding of model training and its role in predictive maintenance and remaining useful life prediction.
Github repo: github.com/min...
Dataset: www.kaggle.com...
#xgboost #freecodecamp #krishnaik

[@bhushansonawane5915]

Great work 👍