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This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

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Chocolate-Quality-Analysis

This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

The Jupiter notebooks describe how to do:

  1. Loading and cleaning data
  2. Build several models
  3. Pick the best model based on K-Fold cross validation.
  4. Run the model against the testing dataset.
  5. Finally, conclusions and future directions.

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This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

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