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- [x] 강의 듣기
- [x] 중요 포인트 간단 요약
Logistic Function:
비선형의 미분이 가능하고, 전체 구간에 대해서 f(x)값이 특정 범위에 있어야 하는 함수로, 1 / (1 + e^-x).
Logistic Regression:
Binomial 또는 Multinomial에 사용되는 Probabilistic Classif…
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The tutorial gives an example of training a logistic regression model on encrypted data. Many papers have implemented CNN training on the encrypted MNIST dataset. However, I can only find open-source …
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The problem sets of logistic regression all have a penalty. It would be very interesting, at least to me, to add the zero penalty case.
Note: For n_features > n_samples, like the 20 news dataset, t…
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Currently the app only supports linear regression for the outcome model.
- [x] Add logistic regression
- [ ] Add Random Forest
- [ ] Add GBM
- [ ] Add CART
See also #96
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### Is your feature request related to a problem?
We have four different regressors, that are essentially all linear regression with various regularization.
### Desired solution
Combine them …
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This issue tracks the skills I need to learn to be a Data Scientist.
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Hi,
I tried to convert my GWAS data into a sumstats file using munge_sumstats.py.
When you look at [https://github.com/bulik/ldsc/wiki/Summary-Statistics-File-Format#sumstats](url) , it says tha…
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Idea: To develop a logistic regression model to predict the likelihood of student placement based on features including CGPA, gender, 10th and 12th percentage, streams of education, degree percentag…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
I will predict the student Dropout rates using Logistic Regression, K-Nearest Neighb…