Supervised Learning Models
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The goal is to introduce learners to the fundamental concept of supervised learning algorithms under machine learning.
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Tackle the two major problems under supervised learning :
- Regression problem
- Classification problem
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Introduction to some fundamental concept in both regression and classification algorithms.
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How to create ML pipeline for production.
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Use cases:
- House pricing
- Sentiment analysis
- Art piece prediction.
- Credit scoring.
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The notebook shows two examples with datasets from housing pricing and cancer classification.
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In terms of advance supervised modeling:
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Image recognition
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Speech recognition