Example Curriculum
Introduction
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Setup and Useful Resources
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Machine Learning with Spark ML: Create a Data Pipeline, Train a Model + more
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- Regression Algorithms (5:37)
- Building a Regression Model (5:03)
- Training a Model (9:45)
- Model Evaluation (7:25)
- Testing a Regression Model (3:56)
- Model Lifecycle (2:11)
- Feature Engineering (8:43)
- Improving a Regression Model (7:33)
- Machine Learning Pipelines (3:55)
- Creating a Pipeline (2:40)
- [Exercise] House Price Estimation (1:58)
- [Exercise] House Price Estimation - Solution (3:12)
- Classification (7:36)
- Classifiers Evaluation (4:26)
- Training a Classifier (8:30)
- Hyperparameters (8:05)
- Optimizing a Model (3:01)
- [Exercise] Loan Approval (2:33)
- [Exercise] Loan Approval - Solution (2:32)
- Deep Learning (6:55)
Where To Go From Here?
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