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Accelerated Tabular Data 2.2 - Feature Engineering
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Tabular Data
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- 1 Accelerated Tabular Data 1.1 - Course Introduction
- 2 Accelerated Tabular Data 1.2 - Introduction to Machine Learning
- 3 Accelerated Tabular Data 1.3 - Model Evaluation
- 4 Accelerated Tabular Data 1.4 - Exploratory Data Analysis
- 5 Accelerated Tabular Data 1.5 - K Nearest Neighbors
- 6 Accelerated Tabular Data 1.6 - Looking Ahead
- 7 Using Jupyter Notebooks on Sagemaker
- 8 Accelerated Tabular Data 2.1 - Introduction
- 9 Accelerated Tabular Data 2.2 - Feature Engineering
- 10 Accelerated Tabular Data 2.3 - Tree-based Models
- 11 Accelerated Tabular Data 2.4 - Hyperparameter Tuning
- 12 Accelerated Tabular Data 2.5 - AWS SageMaker
- 13 Accelerated Tabular Data 3.1 - Introduction
- 14 Accelerated Tabular Data 3.2 - Optimization, Regression Models and Regularization
- 15 Accelerated Tabular Data 3.3 - Ensemble Methods: Boosting
- 16 Accelerated Tabular Data 3.4 - Neural Networks and AutoML
- 17 MLU Channel Introduction
