Rezultati pretraživanja
  1. 23. lis 2017.
  2. 1. ožu 2019.

    The sprint is almost over! It was a pleasure to receive you REV. As summarized by , this week (~to 6 months of work for a single person) allowed discussions and many improvements on quality, performances and new features of . See you soon!

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  3. 25. tra 2019.
  4. 8. kol 2019.

    introduces an API for plotting.

  5. 26. sij

    A room full of talented and passionate mostly female programmers working on issues, and half of them looking for jobs. If you can't find female candidates to hire, you're not looking at the right places! Please stop pretending they don't exist.

  6. 7. velj 2018.

    I love using this figure from the website to explain to students. Illustrates nicely how ML works and how performance varies across diff data sets.

  7. 25. velj 2019.

    We just kicked off the 2019 sprint of , with an enthusiastic team of contributors ( well represented!), hosted at REV. We wish you a nice and productive week for the whole Machine Learning & Data Science community !

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  8. 16. srp 2018.

    New blog 'K-means in Python 3 on data' full example with code. using , . All using a Notebook

  9. 1. stu 2017.

    Dealing with imbalanced classes? imbalanced-learn (nicely fits with ) has various SMOTE versions

  10. 21. kol 2018.
  11. 29. tra 2019.

    Looking for an easy introduction to using and packages and ? Check out my "EZ Text Mining with Python" notebook:

  12. 15. stu 2019.
  13. 25. ruj 2018.

    apricot: Smart, compatible subsampling for & . Sometimes datasets contain a lot of redundant information & you're wasting time training on unnecessarily large datasets. This library will help eliminate that.

  14. 14. velj 2018.

    For , I'll give a shout out to a package that I love: scikit-plot. scikit-plot provides easy functionality on top of . Install on Anaconda w/: conda install -c conda-forge scikit-plot

  15. 5. velj 2019.

    Interesting application for a client today using to estimate age profile of a neighbourhood from mid-year estimates. I've taken ideas from this paper and used and to build spatial microsimulation estimates at postcode level.

  16. 17. sij 2018.
  17. 13. lip 2019.

    Day 16 , today I build an ML prediction model using Dan Becker's tutorial on kaggle, you can check it out if interested.

  18. 28. lip 2019.

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