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Using the machine learning techniques of linear regression and logistic regression to build predictive models using game-level data from baseball.

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ecdedios/linear-logistic-regression

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Linear and Logistic Regression

Analyzing Baseball Stats with Python.

Using the machine learning techniques of linear regression and logistic regression to build predictive models using game-level data from baseball.

Usage

Go to https://www.retrosheet.org/gamelogs/index.html to download the datasets...

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Ednalyn C. De Dios – @ecdedios

Distributed under the MIT license. See LICENSE for more information.

https://github.com/ecdedios

Contributing

  1. Fork it (https://github.com/ecdedios/linear-logistic-regression/fork)
  2. Create your feature branch (git checkout -b feature/fooBar)
  3. Commit your changes (git commit -am 'Add some fooBar')
  4. Push to the branch (git push origin feature/fooBar)
  5. Create a new Pull Request

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Using the machine learning techniques of linear regression and logistic regression to build predictive models using game-level data from baseball.

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