An example Python machine learning notebook for newcomers

WhatsName 10 years ago |

Link to notebook on IPython Notebook Viewer: http://nbviewer.ipython.org/github/rhiever/Data-Analysis-and...

misiti3780 10 years ago | |

serious question - now that github natively supports ipython is there any reason to link to nbviewer ?

minimaxir 10 years ago | | |

The GitHub rendering engine for Ipython notebooks does not support mobile devices (oddly) and it does not support custom CSS/plugins, although this notebook does not utilize any of the latter.

misiti3780 10 years ago | | |

good to know - thank you!

rhiever 10 years ago | | |

The native GitHub IPython Notebook viewer also doesn't support within-notebook linking, which can be fairly annoying when you spend an hour putting together a nice table of contents system.

siddboots 10 years ago | | |

Automated table of contents really should be built into Jupyter, given how often it is used in practice. Although there is an nbextension [1].

[1] https://github.com/minrk/ipython_extensions

rhiever 10 years ago | | |

Very cool - thank you for pointing me to this!

bentpins 10 years ago | | |

It loaded in about 1/10th the time for me

flashman 10 years ago |

Hey Randy, just wanted to say thanks for doing so much to help others extend their knowledge of data science. I don't know where you get your energy but it's been fun watching your rising profile in the data scientist community.

rhiever 10 years ago | |

Coffee... lots and lots of coffee. :-)

teekert 10 years ago |

This is great! I have been using iPython notebook (as a biologist) for some months now and "getting a feel for the data" is very important. This notebook is littered with handy Python one liners to quickly gain insight into the data.

I love iPython notebook, I can run the entire back-end on our cluster while working with terabytes of data on my laptop tethered to my phone from a moving train (as we speak ;)).

Edit: Now using your code directly on my own data, I'm learning a lot, a big thanks to Randal S. Olson!!

rhiever 10 years ago | |

Happy to hear it! I partly made this notebook to convert my coworkers and collaborations to a Pythonic workflow, so this is promising... :-)

teekert 10 years ago | | |

Definitely, to me the whole cleaning up of data while leaving the code as a trace of that you did is an eye opener (I'm a real noob). iPython notebook is ideal for this. I just started using markdown field to write in a detailed way what I'm exactly doing. I bet it will be helpful to other currently Python unaware colleagues.

kelseydh 10 years ago |

This is one of those few tutorials where you truly learn more from just reading through it than you do from seeing the code. Excellent material!

nitin_flanker 10 years ago |

This is beautiful. Thanks a lot. This is so much resourceful for a person like me who is a rookie.