HungaBunga Alternatives

HungaBunga reviews and mentions

• [D] What are the major advantages of having deep understanding of ML algorithms?
  1 project | /r/MachineLearning | 26 Jun 2023

  You can more easily understand errors. Not only why it happens but also what happens with them. Depending on your use case, you might save a lot of time and cost by selecting the correct model(s) in advance compared to using the HungaBunga classifier. Additionally, you might save a lot of time once/if the model doesnt work anymore. Here is an basic example that I have seen in the real world:

• Data science is overspecialized (or me underspecialized)?
  1 project | /r/datascience | 6 May 2023

  Sure, you can do your .fit(), get the model output and be happy. There are many cases where this works. But once you have to do specific models, change some things like the a custom error function to fit your use case better or simply understand why your model is doing things wrong, you absolutely need a good understanding of the maths behind it. You dont need to know all formulas by heart. But being able to understand them and having a good intuition separates the wheat from the chaff

• "Do I need to know {insert advanced math} to get a Data Science job?" [Rant]
  2 projects | /r/datascience | 27 Sep 2022

  But many dont. For many it is simply "use all of scikit-learn and select best". I agree that many things like the inner workings of NN architectures are probably not needed. But at the end, you are applying statistics. Knowing some basic statistics and math should be the norm.

• My career development plan
  2 projects | /r/ProgrammerHumor | 18 Apr 2022

  There's a library that will go that for you: https://github.com/ypeleg/HungaBunga

• [P] Comparison for all Sklearn Classifiers
  2 projects | /r/MachineLearning | 4 Oct 2021
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