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@shomikj
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결측치 처리만 하고 초기모델 구축하기
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1. Math Background (needed for this)
2. Add description about the Logistic Regression Algorithm
3. Code it from scratch using python
4. Evaluation
5. Compare the scratch code results with sklearn…
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Understand how to apply Logistic Regression to the project, scaling and standardisation
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I'm needing to run logistic regression, ideally with the ability to be multinomial. I noticed that you ( @simonster ) also built a wrapper for GLMnet; have you had any plans on adding this feature to …
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My implementation of softmax logistic classifier is ~70% accurate, whereas the scikit-learn classifier is ~90% accurate. I'm not sure why this is happening. I can get to ~80% accuracy if I remove the …
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Are there any examples of using BayesPy to do multilevel logistic regression? This seems like it'd be straightforward to do if you could define a variable as an arbitrary function of another, like
`…
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I have a quick question about obtaining odds ratios vs risk ratios for a binary outcome using avg_comparisons() after matching. I was reading the tutorial materials (thank you for the great materials!…
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Currently the tool only allows for linear regression to be used (continuous outcome).
We need to add support for binary/categorical outcome variables.
- [x] Allow binary/categorical variables in t…
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#### This issue is about [Logistic Regression](http://machinelearningmastery.com/logistic-regression-tutorial-for-machine-learning/).
- [x] Issue Title is in form `Algo/DS Name [Language]`.
- [x] …