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Episode 1.1: Intro and building a machine learning framework
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Applied Machine Learning Framework
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- 1 Episode 1.1: Intro and building a machine learning framework
- 2 Episode 1.2: Building an inference for the machine learning framework
- 3 Episode 2: A Cross Validation Framework
- 4 Episode 3: Handling Categorical Features in Machine Learning Problems
- 5 Episode 4: Simple and Basic Binary Classification Metrics
- 6 Episode 5: Entity Embeddings for Categorical Variables
- 7 Episode 6: Simple and Basic Evaluation Metrics For Regression