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# AMMI notes - MLE and MAP for logistic regression | Gbetondji Dovonon
maximum likelihood estimation and maximum a posteriori estimation for logistic regression
[https://jean72human.github.io/ml-blo…
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I was thinking about doing a logistic regression to predict the odds of death given: age, sex, and variant with variant as the main exposure of interest.
I'd like to include a table with the ORs f…
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Here are the coeff for a Logistic Regression Model trained with NA12877 data
[('CGA_SDO', -0.17694532513145272),
('GQ', 0.002224374491740649),
('DP', -0.13170585952474742),
('CGA_RDP', 0.0541611787…
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The goal of this task is to create a model that can accurately predict the species of an iris flower based on its sepal length, sepal width, petal length, and petal width.
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Which of the following lists examples of high-bias but low-variance machine learning algorithms?
Select one:
- A. Linear Regression, Decision Trees, Logistic Regression
- B. Decision Trees, Lin…
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# Chanseok Kang - Logistic Regression with a Neural Network mindset
[https://kcsgoodboy.github.io/en/posts/Logistic-Regression-with-a-Neural-Network.html](https://kcsgoodboy.github.io/en/posts/Logi…
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I have have maded heart attack prediction chatbot in this have used logistic regression to train data set with 85% accuracy and in ROC 93% I have some images
![Uploading Screenshot 2024-05-06 at…
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In your source code of Chapter 5, [Line26](https://github.com/pbharrin/machinelearninginaction/blob/master/Ch05/logRegres.py#L26), the weight's dimension is `n + 1`. But other places, like [Line58](ht…
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In your specs I noticed that all sample cases use binary input values to train the model.
I'm looking for a typical logistic regression where only the dependent variable is binary, either `1` or `0…
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**Version 0.2**
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