Tabular Data

Tabular Data

Dive into a comprehensive 4.5-hour course on tabular data analysis and machine learning. Begin with an introduction to machine learning concepts and model evaluation techniques. Explore exploratory data analysis and the K-Nearest Neighbors algorithm. Learn to use Jupyter Notebooks on SageMaker and delve into feature engineering. Master tree-based models and hyperparameter tuning. Gain hands-on experience with AWS SageMaker. Study optimization techniques, regression models, and regularization. Explore ensemble methods, focusing on boosting algorithms. Conclude with an introduction to neural networks and AutoML, equipping you with a robust skill set for tackling real-world tabular data challenges.