1. Supervised Learning

Short understanding about supervised learning

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2. Unsupervised Learning

Short understanding about unsupervised learning

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3. Represent data and feature engineering

Short understanding about Represent data and feature engineering with python

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4. Model evaluation and improvement

Model evaluation and improvement

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5. Algorithm chains and pipelines

Building model and tunning parameter easier

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6. Working with text data

Short introduction some technique when working with text data

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