Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them.

The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning.

Install Python and choose a development environment; Understand the basic concepts of object-oriented programming; Import, open, and edit files; Review the differences between Python 2.x and 3.x.

## Book Details | |

Publisher: | Apress |

By: | Valentina Porcu |

ISBN-13: | 9781484241127 |

ISBN-10: | 1484241126 |

Year: | 2018 |

Pages: | 260 |

Language: | English |

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Source Code | Python for Data Mining Quick Syntax Reference |

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